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Paper Citation Record · LEDGER

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells

As of 10 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 1 inbound Pith citation observation for arXiv:2510.23514.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2510.23514 v3

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:56:11.175610Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T23:29:55.933661Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T14:06:05.203521Z

Reference resolution

100 of 112 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6498194-0d78-4dff-af29-772a5a391e7b · outbound

This paper cites Rojsatien, A.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Rojsatien, A

Reference 1

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no resolver link, observed 2026-08-04T07:55:58.723656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:58.723656Z digest=sha256:98e34211cef2074f919a02c58f86a08da6784595f4dda0eeadcb2d7e7beb57c2

Observation 6917939c-acd6-4d98-a274-c11e5ecc48ef · outbound

This paper cites Rojsatien, A.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Rojsatien, A

Reference 2

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no resolver link, observed 2026-08-04T07:55:58.775176Z

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source=arxiv_source observed=2026-08-04T07:55:58.775176Z digest=sha256:c2b920d82e0636d482ed7f5b2acbf7db1b487f0a17125389c7ff002925bc9929

Observation 235331a3-1fdc-4588-9a4d-dc0fad97d26f · outbound

This paper cites Gloeckler, I.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Gloeckler, I

Reference 3

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no resolver link, observed 2026-08-04T07:55:58.859258Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:58.859258Z digest=sha256:e05690f03abd8e5b42b4ccf0afbdc580d3ebe98166371288f78c731529e48e15

Observation 1da77622-8ec5-46ea-9ce3-44c6b43c26d5 · outbound

This paper cites Nideep, M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Nideep, M

Reference 4

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no resolver link, observed 2026-08-04T07:55:58.916107Z

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source=arxiv_source observed=2026-08-04T07:55:58.916107Z digest=sha256:a00177e203620e436a456ae5853e0e65e06e575d3b933bf2ffec489e98c137c3

Observation 7ea3cbc3-d385-4df9-91ff-b7b3ff90f789 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-04T07:55:58.970005Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:58.970005Z digest=sha256:8ffee7810d9d382a1ef200096f8e3dc41712d9571a43bc92a7ac7d4418cc90aa

Observation 93ad7389-872c-401f-a77d-295ae3eddf6a · outbound

This paper cites Freysoldt, B.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Freysoldt, B

Reference 6

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no resolver link, observed 2026-08-04T07:55:59.031181Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.031181Z digest=sha256:c76f7062628e12d671e1172f7856600fa06d10ee9009094ef069a15fe7ec4796

Observation b36dc7e0-5d9a-4053-b968-ada9878b6823 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-04T07:55:59.093510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.093510Z digest=sha256:e1fe3d2e9e7dc142942e9fcb12ff5d1bc6e0317cc212fef2fffa6f3f0ce04cd3

Observation 53dc1213-f485-472f-a4c5-c6854ee75446 · outbound

This paper cites Mannodi-Kanakkithodi, The devil is in the defects - Nature Physics, 2023, https://www.nature.com/articles/s41567-023-02049-9.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi, The devil is in the defects - Nature Physics, 2023, https://www.nature.com/articles/s41567-023-02049-9

Reference 8

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no resolver link, observed 2026-08-04T07:55:59.096975Z

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source=arxiv_source observed=2026-08-04T07:55:59.096975Z digest=sha256:516489d714070d9c19971161816bc64d71f393d3cd069aa74e17a9096f6dc5fd

Observation 7584a72c-9ac7-46e8-a58e-e974fbb3b1a4 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-04T07:55:59.170556Z

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source=arxiv_source observed=2026-08-04T07:55:59.170556Z digest=sha256:dd485126925eb924e02b06cb9bbf18b5ee7c84276a0d6bf2ee8d37bbe31dba2c

Observation 961682b6-b8b6-4dcb-9e8c-2edf7fc5f65e · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-04T07:55:59.290769Z

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source=arxiv_source observed=2026-08-04T07:55:59.290769Z digest=sha256:aefa2996fec793634f69f57e94beb4b00c4ae2932e3883d02d2707a7de453735

Observation 236b8814-3290-4e7a-9074-ccb7605a2f60 · outbound

This paper cites Yang, W.-J.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Yang, W.-J

Reference 11

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no resolver link, observed 2026-08-04T07:55:59.391306Z

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source=arxiv_source observed=2026-08-04T07:55:59.391306Z digest=sha256:0a1598f2f840d27bf194a7ff48e883c4af8bc54dd67fdebd2f74805ccd1d3781

Observation a96832ee-654a-4835-bc9d-ed5d1296357a · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-04T07:55:59.462769Z

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source=arxiv_source observed=2026-08-04T07:55:59.462769Z digest=sha256:d9dbffba920539f84d1b257fb7f288fa7e14e4fd02a72a655ed33a573b11d31e

Observation cffbb597-ae4c-4819-9577-a895af5aa970 · outbound

This paper cites Krasikov, A.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Krasikov, A

Reference 13

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no resolver link, observed 2026-08-04T07:55:59.506491Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.506491Z digest=sha256:ab9de68bc5b408c981d46bfaf7caa705f651d0f1567ecb3b81b95699de3d172f

Observation d14b00da-bb12-425f-b7ac-50a2dfbf28f6 · outbound

This paper cites Krasikov, D.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Krasikov, D

Reference 14

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no resolver link, observed 2026-08-04T07:55:59.584221Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.584221Z digest=sha256:4ce740e0ef2fb32e48c5050891a82a42a23d48e3e8ecbf3f7ab5c5c68567e4a0

Observation 3263a276-2f15-42c7-a38f-d5dc607a5e4e · outbound

This paper cites Krasikov and I.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Krasikov and I

Reference 15

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unresolved
no resolver link, observed 2026-08-04T07:55:59.635733Z

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source=arxiv_source observed=2026-08-04T07:55:59.635733Z digest=sha256:aba16141d12c98612615401a0318bea76939f7286b88dc5c647a977a58e628cc

Observation bafac310-3cac-4c3e-8d37-3790c132bd3a · outbound

This paper cites Krasikov, Nat.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Krasikov, Nat

Reference 16

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no resolver link, observed 2026-08-04T07:55:59.723951Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.723951Z digest=sha256:907ef7570ec674733b5b2a98d09e322dd284213c7e382d2674783efb08eccbac

Observation 0c093aac-b530-4b4a-88c7-e0aaa17d46cd · outbound

This paper cites Ablekim, S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Ablekim, S

Reference 17

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no resolver link, observed 2026-08-04T07:55:59.852567Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:55:59.852567Z digest=sha256:b7d502105491d61ed5153e8f8ae2963667f3e6088780413a4c472c7767d3adee

Observation bde98476-413a-4696-bb48-b2f43100e18d · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-04T07:56:00.061308Z

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source=arxiv_source observed=2026-08-04T07:56:00.061308Z digest=sha256:c1b780a306d9246325314471aebfaca1f21a09702356c5bec851030967bda628

Observation f2ed5fe4-fd99-4fd9-ab0b-b2f60ce02ffb · outbound

This paper cites Gorai, D.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Gorai, D

Reference 19

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no resolver link, observed 2026-08-04T07:56:00.201702Z

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source=arxiv_source observed=2026-08-04T07:56:00.201702Z digest=sha256:f899eaa8ef29b6e46ed2911dc1e11c8fe8fce86eb214cea668b770b630820f3a

Observation cb2edfbb-893d-48d1-a20b-be518786d0f5 · outbound

This paper cites De Souza and G.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells De Souza and G

Reference 20

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no resolver link, observed 2026-08-04T07:56:00.416644Z

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source=arxiv_source observed=2026-08-04T07:56:00.416644Z digest=sha256:962e3219f654b8055d495b254b9bc35f450ca0cc1931806124f5eead3c796259

Observation e9679825-8e5d-4785-9d67-70997bf770ab · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-04T07:56:00.630660Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:00.630660Z digest=sha256:1dbdabfd5127bb8ab6b74e6363cc3e9d04e5b45d7dfdaa129b7f8c6f955d31c1

Observation 59f53a42-0872-44d7-978e-21ea458491e5 · outbound

This paper cites Wickramaratne, C.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Wickramaratne, C

Reference 22

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no resolver link, observed 2026-08-04T07:56:00.741705Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:00.741705Z digest=sha256:b7a044d83387cfeb6dc02e1eace6fb3b003c2abff1a46159a8251d1c426d791f

Observation 4fa268d0-db6e-43a7-b7c0-f4b5ac76ff75 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-04T07:56:00.871257Z

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source=arxiv_source observed=2026-08-04T07:56:00.871257Z digest=sha256:ec4234a2cbd51429da0bde4591507c9c5ea7929ce5a42edc1a2d5ffd2479ccc9

Observation d45007a7-1976-4104-97c7-5e1f749a9c75 · outbound

This paper cites Broberg, K.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Broberg, K

Reference 24

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source=arxiv_source observed=2026-08-04T07:56:00.936320Z digest=sha256:f86259ae81a6bc783622ae2f5db65de935f7d06d10e0f7956d04dd6ab6644d52

Observation 03d500d3-bcf4-4dba-9f39-a901f7f8c6cc · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-04T07:56:01.009201Z digest=sha256:d1dc68bef8f1f2d112418dad05e884ab69877b87d5c4560696dc4d3593cfc425

Observation 15a998f1-1bab-4c21-9906-539e2796724c · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-04T07:56:01.078295Z

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source=arxiv_source observed=2026-08-04T07:56:01.078295Z digest=sha256:5e133a8d9ea6a2c2051237a54856d1667adfc77f8556e1a957b12a7aac2e97de

Observation debf1a1c-a8b5-40c6-8cb1-83c1253b1d7d · outbound

This paper cites Grill and A.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Grill and A

Reference 27

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no resolver link, observed 2026-08-04T07:56:01.228225Z

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source=arxiv_source observed=2026-08-04T07:56:01.228225Z digest=sha256:6c3f2f05dd16ddcaa0cb31a4cda5833c6d1fe3116cb18478eae19a720a03926b

Observation b2e2359a-8e13-495a-a686-8fc6b86c33b6 · outbound

This paper cites Buckeridge, Computer Physics Communications, 2019, 244, 329–342.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Buckeridge, Computer Physics Communications, 2019, 244, 329–342

Reference 28

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no resolver link, observed 2026-08-04T07:56:01.310139Z

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source=arxiv_source observed=2026-08-04T07:56:01.310139Z digest=sha256:1c59085b94dd1f48190a5325eb6e7074d29f2eb8e278e396d1c808a9d26287b4

Observation d6b244a6-fbb3-4ac8-8514-608f654e3589 · outbound

This paper cites Mannodi-Kanakkithodi, X.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi, X

Reference 29

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no resolver link, observed 2026-08-04T07:56:01.478375Z

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source=arxiv_source observed=2026-08-04T07:56:01.478375Z digest=sha256:edf0950e662a72054d87f0808b25ceb41cc799175eaebdc2c53ec92f1a949a8a

Observation 043047d0-83f7-4035-af9a-7a9514f784ff · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-04T07:56:01.558140Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:01.558140Z digest=sha256:ba27f4a345e80932f076116844556409f56a87a6a3196134616f0bd369afd9bc

Observation f29471b6-bd2f-464c-8c15-c8bf9508b159 · outbound

This paper cites Mannodi-Kanakkithodi, J.-S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi, J.-S

Reference 31

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no resolver link, observed 2026-08-04T07:56:01.660129Z

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source=arxiv_source observed=2026-08-04T07:56:01.660129Z digest=sha256:bcb32e450db865c0549cfa0ffee2b8ddd864591f50e6ac6069a824e55dbac531

Observation 79aa4b0c-f988-4e96-983e-53d144d0eed5 · outbound

This paper cites Kim, J.-S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Kim, J.-S

Reference 32

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no resolver link, observed 2026-08-04T07:56:01.803914Z

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source=arxiv_source observed=2026-08-04T07:56:01.803914Z digest=sha256:402bd1abe1def294bb69517b9164315bb1c2f142281dfc775ca4ba718fb8ffa1

Observation 84f5576d-f6fc-40f4-b373-edae6c6c4b9c · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 33

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source=arxiv_source observed=2026-08-04T07:56:01.931319Z digest=sha256:8565cbe3b5652a60dac8d4c872142c85a9e2b4287e633ccca42428eb930e9c7f

Observation 9c3f6067-d79f-459d-b23e-4be2bfe57fd5 · outbound

This paper cites Machín and F.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Machín and F

Reference 34

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no resolver link, observed 2026-08-04T07:56:02.074335Z

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source=arxiv_source observed=2026-08-04T07:56:02.074335Z digest=sha256:4602eb2512bc665cfb1bb2dead85250cd9708c0e74051fac0a1e63cb845e88c4

Observation 3f104fdc-6dfc-4c07-9f08-6790d9a77af8 · outbound

This paper cites Mosquera-Lois, J.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mosquera-Lois, J

Reference 35

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no resolver link, observed 2026-08-04T07:56:02.227361Z

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source=arxiv_source observed=2026-08-04T07:56:02.227361Z digest=sha256:195d08c1bd496619513061065f9eed466e0542645d8a3e185c107405ffee5383

Observation 0919f31e-dd6d-4d02-9335-6186c9022245 · outbound

This paper cites Mosquera-Lois, S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mosquera-Lois, S

Reference 36

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no resolver link, observed 2026-08-04T07:56:02.397519Z

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source=arxiv_source observed=2026-08-04T07:56:02.397519Z digest=sha256:f4621e7d181595fdca1cbd263a25bcbc2ce8934f6f5627249c56370d0e9a2997

Observation e879c16c-6de2-4d1e-9a93-587d9515b50f · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-04T07:56:02.540297Z

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source=arxiv_source observed=2026-08-04T07:56:02.540297Z digest=sha256:f74ef2e36c1f992a48a278f2412d261914a324bb2772afa1194c48a98ee53a50

Observation ce01ae0e-20a3-4088-bc7a-7c556744edd4 · outbound

This paper cites Mannodi-Kanakkithodi and M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi and M

Reference 38

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source=arxiv_source observed=2026-08-04T07:56:02.768578Z digest=sha256:107d3d0bb800741e5c043c9fed29d43d6ae6109e97ba3654478a93536524baef

Observation d14614cd-f9eb-4c46-af91-45d9220b2e4b · outbound

This paper cites Xie and J.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Xie and J

Reference 39

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no resolver link, observed 2026-08-04T07:56:02.963632Z

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source=arxiv_source observed=2026-08-04T07:56:02.963632Z digest=sha256:1a5fbae527de1f79836f0ea9a9daa08a275cfd13c62200b6e439ed560f997f40

Observation 1f142167-39aa-4dcf-adaa-8d1f8653f1a4 · outbound

This paper cites Choudhary and B.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Choudhary and B

Reference 40

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no resolver link, observed 2026-08-04T07:56:03.141811Z

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source=arxiv_source observed=2026-08-04T07:56:03.141811Z digest=sha256:1d60ba852ac84a36c280c5f4110fefb2e4e422348188289655627bae88fcaf92

Observation 87978213-6f93-4353-b45a-313e1980a935 · outbound

This paper cites Supervised Community Detection with Line Graph Neural Networks.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Supervised Community Detection with Line Graph Neural Networks

Reference 41

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no resolver link, observed 2026-08-04T07:56:03.276793Z

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source=arxiv_source observed=2026-08-04T07:56:03.276793Z digest=sha256:9a7aa532995c0583fa6283b65a33d61998addf20de62821c565c1e80614753bf

Observation b8da61d6-a836-4d1b-b3dd-666e5b07cffc · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Semi-Supervised Classification with Graph Convolutional Networks

Reference 42

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no resolver link, observed 2026-08-04T07:56:03.417156Z

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source=arxiv_source observed=2026-08-04T07:56:03.417156Z digest=sha256:8f933a5dd72c7714bd84a1cee14a58e1418bf6d9c6071a3af508b3a80cd61f33

Observation b1ead7c5-61f8-4773-95f9-5cdf28719003 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-04T07:56:03.503004Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:03.503004Z digest=sha256:ebae727aeb89a92e4f75a7a99039a632211809be857ba6723d4be344755f97e6

Observation 1239c01c-c2ba-4d30-b92b-6aa20969e1c4 · outbound

This paper cites Chen and S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Chen and S

Reference 44

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no resolver link, observed 2026-08-04T07:56:03.625264Z

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source=arxiv_source observed=2026-08-04T07:56:03.625264Z digest=sha256:ec387f27f2410e0c834890c2b6d61d9aedd3449a90b5790dde98683ce7971788

Observation 8725826b-324f-41ab-9584-a160173b99dd · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-04T07:56:03.812783Z

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source=arxiv_source observed=2026-08-04T07:56:03.812783Z digest=sha256:cd63102429fa3d3e6796a5e45763bf146807c215c95c53c14876b984e2fdc324

Observation d1f85a5e-6278-4dd4-b38b-304ab62e0ca1 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-04T07:56:03.943962Z

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source=arxiv_source observed=2026-08-04T07:56:03.943962Z digest=sha256:4b4085298cf9cdf80cdc7c43bc1cff8996a7730b2d00991d039349c6e5e6cd1a

Observation 6436b7b0-7e71-4f13-97d6-73475956e86a · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-04T07:56:04.154019Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:04.154019Z digest=sha256:2c0e75e8d95a46bc23e9b07d7fe19dcc56e1beebd1c06aaf0f0285652b188ebf

Observation 09163633-5cfb-4daa-bdbe-12799571583b · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-04T07:56:04.240409Z

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source=arxiv_source observed=2026-08-04T07:56:04.240409Z digest=sha256:054b00b767dc51f2572cc21d840ae1fdac64462e6f14f9d583a410efe80a771d

Observation 05d4eafe-3a84-4e01-9c88-4afddfa50b65 · outbound

This paper cites Borlido, J.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Borlido, J

Reference 49

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no resolver link, observed 2026-08-04T07:56:04.367898Z

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source=arxiv_source observed=2026-08-04T07:56:04.367898Z digest=sha256:771151d21edb0cb711c67b0117194f60029a29cee23880726cb39622caaeef52

Observation 945f687e-7938-41a6-b8d3-df2551cbed47 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 50

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unresolved
no resolver link, observed 2026-08-04T07:56:04.459684Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:04.459684Z digest=sha256:e78d653da706018c9beb7c9a1a41f43aa9e3fd4a97138e7b4e0c116e5a35e315

Observation 2fc66d46-c36d-437d-b29b-1860853a5d5b · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 51

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no resolver link, observed 2026-08-04T07:56:04.563302Z

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source=arxiv_source observed=2026-08-04T07:56:04.563302Z digest=sha256:a10ed1d10eab93f9ec09204c05b2141ca5e0615b8beef0345e67f57b98f3cfd3

Observation 6a9ee433-04a9-4615-a36f-412ff8ee9e78 · outbound

This paper cites Menéndez‐Proupin, M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Menéndez‐Proupin, M

Reference 52

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no resolver link, observed 2026-08-04T07:56:04.665935Z

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source=arxiv_source observed=2026-08-04T07:56:04.665935Z digest=sha256:1a22b9a2a6886458befca9c71d953b8f74deab53f9c08af6bfac86bfc277be1f

Observation 6933bc88-779a-4c47-9fa5-ca3113fedb87 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 53

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no resolver link, observed 2026-08-04T07:56:04.834454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:04.834454Z digest=sha256:1dbf71c078950dad5035312d120b283adcd2cd6d37fe32d62616999c1879a55c

Observation 83f28045-6cf8-4276-b7b3-22d4b0ed4ddb · outbound

This paper cites de Melo, M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells de Melo, M

Reference 54

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no resolver link, observed 2026-08-04T07:56:04.980926Z

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source=arxiv_source observed=2026-08-04T07:56:04.980926Z digest=sha256:21c928b53f615bb5bfa8998265102da9f93bc119915c5a4889ddce9d700fc284

Observation 16831941-25f7-49fa-a869-279f86ecdc66 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-04T07:56:05.084063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:05.084063Z digest=sha256:a21e2c1a19a143d9c536a7f2430e64ccf063a33d31c5c1be5451ac30bb22affb

Observation 90ccf0fb-a93a-478c-a9a9-18164fdf63f6 · outbound

This paper cites Chen, C.-Y.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Chen, C.-Y

Reference 56

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unresolved
no resolver link, observed 2026-08-04T07:56:05.275591Z

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source=arxiv_source observed=2026-08-04T07:56:05.275591Z digest=sha256:986b108dac145908cc74288f4a62fa30df6191734a57ae1ebbf3d6bb50585bb7

Observation 3ff275e5-b25b-496f-a6cc-e1581b071152 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-04T07:56:05.465010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:05.465010Z digest=sha256:cd2e67eaeffbec147959e23efe44fc2dc6b3e7e8c8b60a7cd014f9d9e3a69078

Observation 87d2c10c-410b-4347-8f53-388499b1efb6 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 58

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unresolved
no resolver link, observed 2026-08-04T07:56:05.637528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:05.637528Z digest=sha256:1906f5cdef2a03da00ac0c4d5c3e97f33e183d316cb1888b1a028115c43c31a7

Observation 29c51965-c57e-4d04-8b54-222eacc42a23 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 59

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unresolved
no resolver link, observed 2026-08-04T07:56:05.798291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:05.798291Z digest=sha256:a595367f873a906c564597194b95d2184997469ae56f96bf2ecfc6994da988b2

Observation 34ca4869-e48a-47a4-926b-cbb57589bc82 · outbound

This paper cites Zheng, E.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Zheng, E

Reference 60

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no resolver link, observed 2026-08-04T07:56:05.982620Z

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source=arxiv_source observed=2026-08-04T07:56:05.982620Z digest=sha256:f90bd662c36a01398c75b131356ca1ac77f4a22ab5c2976badae03ab4f8c7cb9

Observation ed10211f-79b6-4a82-9dc5-5d5152674a29 · outbound

This paper cites Wardak, W.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Wardak, W

Reference 61

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unresolved
no resolver link, observed 2026-08-04T07:56:06.258560Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:06.258560Z digest=sha256:921d20af180b24637113aa921f38d8cb709e670554b0dd3a0cfd5e9d812cea02

Observation 70b886c0-83ce-4e1f-9e56-d8c011bc022f · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 62

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no resolver link, observed 2026-08-04T07:56:06.390061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:06.390061Z digest=sha256:dd935a706d3c57416db4ca991aa31d731c132a6f3a9c0ce07b89052a8e958b16

Observation a6ced590-90b7-4572-9e7c-13e7e03ddac8 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 63

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no resolver link, observed 2026-08-04T07:56:06.472171Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:06.472171Z digest=sha256:cf780b08c7daff297dff0bd4cf121e225c57ab8662052af9f38390c36b0bde3c

Observation b2df4b5d-8d77-4a67-a9d7-bccebdbd18dc · outbound

This paper cites Huang, S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Huang, S

Reference 64

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unresolved
no resolver link, observed 2026-08-04T07:56:06.562722Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:06.562722Z digest=sha256:46a07692e063babd3f681ed37297df882090a60abf9f3f65108631d2d18cc8aa

Observation 1fdaf37d-e3aa-43e8-9fe1-af120b326fa0 · outbound

This paper cites Bidaud, J.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Bidaud, J

Reference 65

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verified exact
doi, observed 2026-08-04T07:58:31.448630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T07:56:06.631528Z digest=sha256:ab7064a6e23816f211c56d82e26f9881d49af62304b9817fddb50caf81ec690a

Observation 2304fa8d-1507-4179-b80c-150a87bc7324 · outbound

This paper cites Shi and M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Shi and M

Reference 66

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no resolver link, observed 2026-08-04T07:56:06.821862Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:06.821862Z digest=sha256:2ea73d1577bdac89f077492808ab8348259c02a56fb060f7578a012043f9c2e1

Observation b5905f16-b775-4454-9231-a14cce1df955 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 67

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no resolver link, observed 2026-08-04T07:56:06.973174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:06.973174Z digest=sha256:6b2eae727c05b118170ea0bce49b68856a63f4e275f3d1146f75cb9966066bad

Observation 539214ef-e807-45a6-aa51-f987d325db8e · outbound

This paper cites Manna, H.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Manna, H

Reference 68

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no resolver link, observed 2026-08-04T07:56:07.095225Z

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source=arxiv_source observed=2026-08-04T07:56:07.095225Z digest=sha256:da9b588212bc785da05ba4046f41a5954ccf202a64b3598a945d7c33fbada659

Observation 4fda2db1-934c-4e41-8fa4-b14b7b1009fc · outbound

This paper cites Cheng, C.-L.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Cheng, C.-L

Reference 69

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unresolved
no resolver link, observed 2026-08-04T07:56:07.256582Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:07.256582Z digest=sha256:ff8f07e2b206f6d069a9c104eae2912d9504b0ea4e78d2a371c22fcb4218c028

Observation f8ecb4bd-08e0-4c23-93af-7be00e7f012b · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 70

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no resolver link, observed 2026-08-04T07:56:07.434593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:07.434593Z digest=sha256:30f2d9766f0a9995192b61493f88d80a1bcabf8b38e1d0db83c8a979975efeb1

Observation b055460c-1319-4370-bd28-90459fa83823 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 71

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no resolver link, observed 2026-08-04T07:56:07.647801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:07.647801Z digest=sha256:c6629d318de3b81ebe0f13cf6d759288e93efe517813ba2b0429f33c0317b4be

Observation 1f204c8d-7710-4a14-b097-13f53c79228c · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 72

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unresolved
no resolver link, observed 2026-08-04T07:56:07.878849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:07.878849Z digest=sha256:15b0e2421fa4af485bdbfc91acb4578baccafb1d47b120b40f7d986577412798

Observation e7b09cf8-daa8-4e33-8700-0eaf59173c08 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 73

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no resolver link, observed 2026-08-04T07:56:07.972765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:07.972765Z digest=sha256:4983dc34dbfc0f8b01dd369478fac0a64e1d5060998ebb7897b1d9a8142cae7e

Observation 67c72505-1df2-4ee5-b3e5-be0ae632bd69 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 74

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no resolver link, observed 2026-08-04T07:56:08.031677Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:08.031677Z digest=sha256:8a50370914ba73018ac171d038cb1988e29cf8589c01a5d3b0bec018cea62298

Observation 8a3ea9b5-aa61-49a9-a063-77ca2641efe6 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 75

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no resolver link, observed 2026-08-04T07:56:08.150929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:08.150929Z digest=sha256:e557cce5f968f11fb9b25a711bf2213b8e252d0b1d27eefb539dc74e53cd42fb

Observation dc1cc667-f0c0-4214-b686-d951f04f7ffa · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 76

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verified exact
doi, observed 2026-08-04T07:58:31.273305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-04T07:56:08.309852Z digest=sha256:9ba80ef98f87f58155e39ba78a486286f05619b5e1d9163df1d112cf4e796535

Observation 9834ed13-847f-4a5b-bc76-7aac2941f2f1 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 77

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unresolved
no resolver link, observed 2026-08-04T07:56:08.388254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:08.388254Z digest=sha256:129440fe29e772defb4c162ace62c8b48270726ca571e910f2807880a5c3806b

Observation 1f566a06-cd2d-4387-b24b-602875a4c6c4 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 78

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unresolved
no resolver link, observed 2026-08-04T07:56:08.493458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:56:08.493458Z digest=sha256:5dd8ae4fa8d8aed9c57d96768188e342e61db6bde1fab4e933cbb8012ac8988f

Observation 0d4895c9-88a3-4e87-8f12-c49619ac5be3 · outbound

This paper cites Bapst, T.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Bapst, T

Reference 79

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unresolved
no resolver link, observed 2026-08-04T07:56:08.635546Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T07:56:08.635546Z digest=sha256:b838391ca812d3e3f64ca3775a6cfa1b82e7c6e6c69e4263fa5df4a75feca5fa

Observation 0dec3c14-9c7f-4132-bda9-44ed1f724073 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-08-04T07:56:08.740994Z digest=sha256:af8476f37964219d6a2aae38391048183667d948f91e777763796d2c960652af

Observation d66ab43f-13bc-49c4-9536-e87d1a3cff29 · outbound

This paper cites Battaglia, A.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Battaglia, A

Reference 81

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no resolver link, observed 2026-08-04T07:56:08.810648Z

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source=arxiv_source observed=2026-08-04T07:56:08.810648Z digest=sha256:88cb304d5cbcfec26d8c5c6d6ba754d0d3472a24d0b87ea8fc17719f0f6bc3b2

Observation 1befa377-c522-4245-a37d-7c5374423586 · outbound

This paper cites Mannodi-Kanakkithodi, Modelling and Simulation in Materials Science and Engineering, 2022, 30, 044001.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi, Modelling and Simulation in Materials Science and Engineering, 2022, 30, 044001

Reference 82

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source=arxiv_source observed=2026-08-04T07:56:08.904908Z digest=sha256:c9e22f5573565ecccad8a05ccc711f44c946bc5e003db5bd6a8104b6dd3136c9

Observation 9aed2452-d7ef-4904-b935-f98acfc57978 · outbound

This paper cites Mannodi-Kanakkithodi, M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mannodi-Kanakkithodi, M

Reference 83

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no resolver link, observed 2026-08-04T07:56:09.054752Z

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source=arxiv_source observed=2026-08-04T07:56:09.054752Z digest=sha256:2d8883b6c774e02943fd3cf753f8dcf66b90c159ed14d8db76a1cadf52b9c68f

Observation b397d466-0408-4669-8bb5-1f011975a1a7 · outbound

This paper cites Zunger, S.-h.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Zunger, S.-h

Reference 84

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source=arxiv_source observed=2026-08-04T07:56:09.213989Z digest=sha256:356754d2f2584bcd91f5c6bac63a98d2598f272f1b6a842e715c43a04897a688

Observation 48aaf5f5-8ee1-4c31-bbde-b803dc29ae0a · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 85

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source=arxiv_source observed=2026-08-04T07:56:09.277464Z digest=sha256:0adda6ebd1098ce6d538c68ac5041b9eaef8031b2545334ff21d13bb38c67d56

Observation 4e265115-f1d3-435e-ac68-13e59c930e18 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 86

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no resolver link, observed 2026-08-04T07:56:09.456028Z

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source=arxiv_source observed=2026-08-04T07:56:09.456028Z digest=sha256:826ba04d6410a6cc04709011cb60bc2565f2131de11ee6b4ccf7138336609034

Observation 6b408153-6c04-4f01-8ae9-b43329f5c701 · outbound

This paper cites Choudhary and B.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Choudhary and B

Reference 87

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no resolver link, observed 2026-08-04T07:56:09.568273Z

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source=arxiv_source observed=2026-08-04T07:56:09.568273Z digest=sha256:de232763ae1e0e81f6b3783a98f035c7b6c88997f183988229682561239bfa67

Observation bbf02945-98a5-4951-8452-3a6a994def3a · outbound

This paper cites Mosquera-Lois, S.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mosquera-Lois, S

Reference 88

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no resolver link, observed 2026-08-04T07:56:09.717033Z

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source=arxiv_source observed=2026-08-04T07:56:09.717033Z digest=sha256:ed2493f73d56a0cb3f33cdb19b4255995bf52f50d4c4e56f11419e1f50c74bd8

Observation 657b1905-8c55-466e-91d2-2bef10e1a50d · outbound

This paper cites Choudhary, B.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Choudhary, B

Reference 89

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no resolver link, observed 2026-08-04T07:56:09.827071Z

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source=arxiv_source observed=2026-08-04T07:56:09.827071Z digest=sha256:1453148aca9df3a603a063c65c17fe37272844100f9315dd0dca2d71f6be90ef

Observation 8339e3d9-19f3-4f41-b980-47259a85fcfe · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 90

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source=arxiv_source observed=2026-08-04T07:56:09.970524Z digest=sha256:f9866cbd61b5e5131a4950849ce7ed9959805fbbc756bc5707cb34df458410ce

Observation dd4e8405-a526-47a4-8a0a-cb7b679b8275 · outbound

This paper cites Cheng, C.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Cheng, C

Reference 91

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no resolver link, observed 2026-08-04T07:56:10.055862Z

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source=arxiv_source observed=2026-08-04T07:56:10.055862Z digest=sha256:6804a0b66dcbb7f7b766d03ba8884121f99f9ec77da4fef75129a0d4b6b418af

Observation f5519dba-d1f4-4c76-8c4a-2cc37079a7c7 · outbound

This paper cites Lee and R.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Lee and R

Reference 92

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no resolver link, observed 2026-08-04T07:56:10.156168Z

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source=arxiv_source observed=2026-08-04T07:56:10.156168Z digest=sha256:cbdff47a920fb90b184ce230265c5de3b571ffe80dcdbeabbd49f7152d03fad1

Observation 6bade3ec-9eb8-4e72-93fb-4faa001b34c4 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-04T07:56:10.223000Z digest=sha256:a7495427b6d0b3e26dffff1303ae9e2625720d20c1da87ba283d4b43e48b1475

Observation 27d425e8-c115-427f-b198-03470b1f7503 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 94

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no resolver link, observed 2026-08-04T07:56:10.314350Z

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source=arxiv_source observed=2026-08-04T07:56:10.314350Z digest=sha256:0c713b7620480c2858268f9521e90909701cbf36ff7daeab7daea8e9281d8361

Observation 60aab817-edbe-4731-83c6-8656b33e5416 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 95

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source=arxiv_source observed=2026-08-04T07:56:10.451718Z digest=sha256:0a39825ffa75710fea5e50436e67481655605a131fcd763ab7c6e237d887502a

Observation 602ed70a-3557-4544-ae91-469a6642c3e0 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 96

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no resolver link, observed 2026-08-04T07:56:10.660650Z

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source=arxiv_source observed=2026-08-04T07:56:10.660650Z digest=sha256:ea60f79c9ddb40211d5bdede00a80e5cbe50e8397c519761a7e0148bbebd9efa

Observation b76f122e-354d-4831-affb-6e672a86039f · outbound

This paper cites Ščajev, M.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Ščajev, M

Reference 97

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no resolver link, observed 2026-08-04T07:56:10.739358Z

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source=arxiv_source observed=2026-08-04T07:56:10.739358Z digest=sha256:16cf8ddb24b0becc92bf8bb94e1835f2aac88e38eab259458f1a29c26dc85f56

Observation 74e7535b-42ee-4e55-985a-744658307638 · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 98

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no resolver link, observed 2026-08-04T07:56:10.897161Z

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source=arxiv_source observed=2026-08-04T07:56:10.897161Z digest=sha256:63ecb71a0a238f384c15a4c999d69e66c212d018d1f46837373172e16fae6394

Observation b6402bd7-3fff-4fe6-bee4-9584811977eb · outbound

This paper cites Mahoney, C.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Mahoney, C

Reference 99

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no resolver link, observed 2026-08-04T07:56:11.034757Z

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source=arxiv_source observed=2026-08-04T07:56:11.034757Z digest=sha256:ecddd68dd913d346bd027c122f41b5bd30e770f97c5f48870d2e02e61ee3258e

Observation 003bb17d-2cbb-42df-be4a-e12bbe347e1a · outbound

This paper cites an unresolved cited work.

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells Unresolved cited work

Reference 100

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no resolver link, observed 2026-08-04T07:56:11.175610Z

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source=arxiv_source observed=2026-08-04T07:56:11.175610Z digest=sha256:a528aefdee2f6435789af99cbf7f5f7df25c9a060999b168e36db1c843507046

Pith citing papers

Observation 30c6b661-3aa6-4254-a28f-dcf9fe20b59b · inbound

Accelerating point defect simulations using data-driven and machine learning approaches cites this paper.

Accelerating point defect simulations using data-driven and machine learning approaches DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells

Reference 97

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verified exact
arxiv_id, observed 2026-05-26T02:03:04.649519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T23:29:55.933661Z digest=sha256:7203d0294df9463243f58438f8206b630e11419463f6b576a76d79fef5251f32