Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing | Paper Citation Record

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This paper cites Karimzadeh, D.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Karimzadeh, D

Reference 1

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This paper cites Sharma and Y.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Sharma and Y

Reference 2

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This paper cites DebRoy, H.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing DebRoy, H

Reference 3

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This paper cites Zhang, D.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zhang, D

Reference 4

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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This paper cites Ghosh, J.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Ghosh, J

Reference 6

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This paper cites Zinovieva, A.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zinovieva, A

Reference 7

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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This paper cites Körner, M.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Körner, M

Reference 10

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This paper cites Faegh, S.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Faegh, S

Reference 11

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This paper cites Zhang, G.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zhang, G

Reference 12

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 13

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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This paper cites Herzog, M.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Herzog, M

Reference 17

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This paper cites Bayat, O.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Bayat, O

Reference 18

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 19

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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This paper cites Kibrete, T.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Kibrete, T

Reference 21

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 22

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This paper cites Huang, M.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Huang, M

Reference 23

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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This paper cites Akbari and R.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Akbari and R

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Yoshioka and M

Reference 26

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Tourret, R

Reference 28

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Haase, J

Reference 30

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zinovieva, V

Reference 32

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Chandra, J

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Mukherjee, J

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Xiong, Z

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Ahsan, J

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Bayat, R

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Bidare, I

Reference 45

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Li and Y

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Biswas, S

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Tan and A

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Deshmukh, A

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Promoppatum, R

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Wahlquist and A

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Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Chandra, C

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0128541e-1460-48e8-86f9-e09155f5aedf · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T04:23:35.423004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbb1623a-db8f-4ee3-b817-6f023533ff0e · outbound

This paper cites Barriobero-Vila, J.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Barriobero-Vila, J

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T04:23:35.468547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d7c2ca-fa8d-478b-b0f0-bda789b2274a · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T04:23:35.554432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 336e8d2b-7c1d-4ad8-a854-eaf35ff6f68c · outbound

This paper cites Akbari, F.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Akbari, F

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T04:23:35.559778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43bee906-2dca-4143-9d9e-855b029bda6a · outbound

This paper cites Liu and Y.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Liu and Y

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:42.378869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c9f61bc-3e9d-47fd-a9f9-a27d2b60d19b · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:42.362005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29c269b7-ff6d-46f6-9bcb-51ad34ef90ed · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:42.346261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44a01c2f-69a0-4d75-ab67-e3833bfb67d3 · outbound

This paper cites Senthilnathan, P.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Senthilnathan, P

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:42.311522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a97cbb7-51c4-4e27-988a-9dbc9c7f79ee · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:42.082604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cda8117d-59ba-446c-bf97-bbbf9cb2f795 · outbound

This paper cites Zhao, ‘Understanding and design of meta llic alloys guided by phase-field simulations’, npj Computational Materials, vol.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zhao, ‘Understanding and design of meta llic alloys guided by phase-field simulations’, npj Computational Materials, vol

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:42.017196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a3592195-3761-4073-9d7d-cbd2e5ddf44b · outbound

This paper cites Herbeaux, H.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Herbeaux, H

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:42.001294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e62f37c4-f96b-4ade-a5b7-bca82356ee92 · outbound

This paper cites Radhakrishnan, S.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Radhakrishnan, S

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.983865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54d36962-d99c-4139-8672-b49a77eab972 · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.968841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e166ed49-e917-4677-9fdf-1d88cc2a8a20 · outbound

This paper cites Ghosh, C.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Ghosh, C

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.953500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d149523e-541c-46a0-a23d-8f97276a7f1f · outbound

This paper cites Zhang, B.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zhang, B

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.936983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2d15d240-6453-45b9-8963-1d07cb332d72 · outbound

This paper cites Segawa, S.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Segawa, S

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.921764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c3babb08-05c2-4d11-ba18-ce6d7c835b92 · outbound

This paper cites Acharya, J.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Acharya, J

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.906404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6da7f787-7f9b-4a08-9bfc-ec88b2e981b5 · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.890334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89bd3872-9022-46b3-a0a6-33da0ea45231 · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.760916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba249573-a1ea-47db-a329-750c037561c2 · outbound

This paper cites De Baere, S.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing De Baere, S

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.744296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13ea3e14-ee1a-4e40-aefd-811cb18d3d42 · outbound

This paper cites Rolchigo, A.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Rolchigo, A

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.728692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4c2399e-bf5a-4bd5-8fcb-d526abf338ad · outbound

This paper cites Baumard, D.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Baumard, D

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.711062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a0bdc4c-d2b4-4ec7-ab00-ed8f5cd785ec · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.550018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0418226f-4d92-4ed1-836d-445211208d60 · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.440063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d125bd09-c8b6-4e52-bbbb-34e2ff773639 · outbound

This paper cites Xiong, C.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Xiong, C

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.381297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f154e49b-1801-4900-a73f-cab8144f5cdc · outbound

This paper cites Lopez-Botello, U.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Lopez-Botello, U

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.366905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b2317819-c9fc-47e4-8ec7-aceb5876fb2c · outbound

This paper cites Zhang, F.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Zhang, F

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.352075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48ec9d86-5051-4f36-bb05-4cdbf756a378 · outbound

This paper cites Hosseinzadeh, M.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Hosseinzadeh, M

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.335285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8096d19-beea-4e33-b2db-f038a9c3302d · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.319053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 132dc9dd-1da9-46c6-a50c-d580160a4da4 · outbound

This paper cites Ackermann and C.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Ackermann and C

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.303639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5cd1bbc-c6d2-4424-bc85-23a906c7122c · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:41.285459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e567f4b6-fc02-485b-8221-de067464efa4 · outbound

This paper cites Sunny, H.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Sunny, H

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.167579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7e55a041-64ac-44c1-bf48-a74bcc137925 · outbound

This paper cites Pauza and A.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Pauza and A

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.151674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1b5dc12-32a3-49f5-9801-c59e3ab49f0b · outbound

This paper cites Mishra, ‘Measurements a nd Monte Carlo simulation of grain growth in the heat-affected zone of Ti–6Al–4V welds’, Acta Mater, vol.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Mishra, ‘Measurements a nd Monte Carlo simulation of grain growth in the heat-affected zone of Ti–6Al–4V welds’, Acta Mater, vol

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:41.080955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14948fbd-9cfe-402f-81d4-083c14ab6080 · outbound

This paper cites an unresolved cited work.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:23:40.819990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a6201e0-73a6-46b3-9f87-0e7a71409d1d · outbound

This paper cites Samadiani, A.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Samadiani, A

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:40.802426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 625df7f8-e5bb-4362-b0d0-664b41589039 · outbound

This paper cites Abd-Elaziem, S.

Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing Abd-Elaziem, S

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:23:40.785875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers