Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:47:49.243465Z
Paper Citation Record · LEDGER
Exploring the energy landscape of aluminas through machine learning interatomic potential
As of 12 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 1 inbound Pith citation observation for arXiv:2412.02191.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:37:10.313278Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 110 outbound references displayed
- verified exact1
- verified fuzzy32
- unresolved67
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation aa959acc-ab9c-4536-ad70-6161999a7291 · outbound
This paper cites Levin and D.
Exploring the energy landscape of aluminas through machine learning interatomic potential Levin and D
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51d84e87-7111-4137-b40e-9f142d03c53c · outbound
This paper cites Rouquerol, K.
Exploring the energy landscape of aluminas through machine learning interatomic potential Rouquerol, K
Reference 2
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a4bc0fce-59ca-4a23-9495-6180083396cb · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e9fc00f-989a-4483-bb94-5804374d565f · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f2a6856-a670-4ee3-a967-4729f01389bf · outbound
This paper cites Abou-Ziyan, D.
Exploring the energy landscape of aluminas through machine learning interatomic potential Abou-Ziyan, D
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18bb65c3-425d-4fc7-93dd-bb594d5ed8a1 · outbound
This paper cites Halvarsson, V.
Exploring the energy landscape of aluminas through machine learning interatomic potential Halvarsson, V
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 442dd0aa-fc64-413f-b205-d76772031fd1 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6df5d680-7a2a-4dcf-a3e9-cf86b9a8d966 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eddb8567-89a6-4b62-9c36-85bf5eb85da7 · outbound
This paper cites Verwey, Electrolytic conduction of a solid insulator at high fields the formation of the anodic oxide film on aluminium, Physica 2, 1059 (1935).
Exploring the energy landscape of aluminas through machine learning interatomic potential Verwey, Electrolytic conduction of a solid insulator at high fields the formation of the anodic oxide film on aluminium, Physica 2, 1059 (1935)
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d9a7b43-fbac-4aaa-8bc8-5ec3d796001d · outbound
This paper cites Zhou and R.
Exploring the energy landscape of aluminas through machine learning interatomic potential Zhou and R
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92b8f025-620b-49c2-a6b9-a766b524237f · outbound
This paper cites Prins, On the structure of γ-al2o3, Journal of Catal- ysis 392, 336 (2020).
Exploring the energy landscape of aluminas through machine learning interatomic potential Prins, On the structure of γ-al2o3, Journal of Catal- ysis 392, 336 (2020)
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6e89840-0262-4ab0-978a-b43dce096487 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22055e01-6853-43a4-a8d1-4d266cbbf831 · outbound
This paper cites Kovarik, M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kovarik, M
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 990a0108-0e21-40f8-b34a-fbfdb41f64d0 · outbound
This paper cites Kohn and L.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kohn and L
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cc29ad8-38d9-455b-969a-a9620edcd376 · outbound
This paper cites Behler and M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Behler and M
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64ddbe64-2801-4f5b-8778-142479431644 · outbound
This paper cites Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of chemical physics 134 (2011).
Exploring the energy landscape of aluminas through machine learning interatomic potential Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of chemical physics 134 (2011)
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1982a89-4986-48d3-8b4d-b4a5f582dcaf · outbound
This paper cites Behler, Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations, Physical Chemistry Chemical Physics 13, 17930 (2011).
Exploring the energy landscape of aluminas through machine learning interatomic potential Behler, Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations, Physical Chemistry Chemical Physics 13, 17930 (2011)
Reference 18
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da8a70cb-47c2-4ab2-91c2-507c02379266 · outbound
This paper cites Bonati and M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Bonati and M
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1a47cd3-628a-4fa4-8dac-b641c235c32b · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 20
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e150e223-b77e-4327-9977-3a8f0edd05bb · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b97d584-2c5d-4414-88cb-77e2aebbc69d · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abd8f876-34bb-4871-b181-8889e1839cce · outbound
This paper cites Chen and S.
Exploring the energy landscape of aluminas through machine learning interatomic potential Chen and S
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2fb392d-fe9e-42ce-a701-4002b5cd0d8a · outbound
This paper cites General-purpose machine-learned potential for 16 elemental metals and their alloys.
Exploring the energy landscape of aluminas through machine learning interatomic potential General-purpose machine-learned potential for 16 elemental metals and their alloys
Reference 24
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9647b59f-ff78-4007-b3a4-141e7a9080a2 · outbound
This paper cites A foundation model for atomistic materials chemistry.
Exploring the energy landscape of aluminas through machine learning interatomic potential A foundation model for atomistic materials chemistry
Reference 25
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6b1e5b2-3e43-4203-b8e4-4c0a20611ae9 · outbound
This paper cites Cheng, G.
Exploring the energy landscape of aluminas through machine learning interatomic potential Cheng, G
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 003402d6-3398-4c71-8c2a-6a651ad2efc2 · outbound
This paper cites Wengert, G.
Exploring the energy landscape of aluminas through machine learning interatomic potential Wengert, G
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a0ca84-dbd1-4c65-9117-72992e0493af · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26354fe9-897c-431f-9381-395d9011d0da · outbound
This paper cites Richard, A.
Exploring the energy landscape of aluminas through machine learning interatomic potential Richard, A
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb443bb0-167c-4072-a373-77f247d80841 · outbound
This paper cites Artrith, T.
Exploring the energy landscape of aluminas through machine learning interatomic potential Artrith, T
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96c007e6-6ed5-43f0-8159-00d4126ae430 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff44d54b-e5ac-42d5-910b-1fc1eb8eb02e · outbound
This paper cites Timmermann, F.
Exploring the energy landscape of aluminas through machine learning interatomic potential Timmermann, F
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 507e4530-7c3d-46b5-be5f-8d8d85e6b989 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bd35791f-cfec-468c-a216-176b234cab2e · outbound
This paper cites Sivaraman, L.
Exploring the energy landscape of aluminas through machine learning interatomic potential Sivaraman, L
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a56ad321-6a6f-49f1-b54a-f92fb9c3ccfa · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 521eab7b-4595-4ebd-8c6e-575cb406c53b · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b2cade9c-ac3d-431a-b6f1-c10c4bcd6424 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 282b3477-e9f5-4b92-b03c-d161d9a903e4 · outbound
This paper cites Tiwari and T.
Exploring the energy landscape of aluminas through machine learning interatomic potential Tiwari and T
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1ad6a199-58f8-4666-bd45-0a351e4bdc6b · outbound
This paper cites Rodr ´ ıguez-Mart ´ ınez, T.
Exploring the energy landscape of aluminas through machine learning interatomic potential Rodr ´ ıguez-Mart ´ ınez, T
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8eae5cf6-76f2-47c1-be9d-3d31aa35244a · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9dbbc50b-61e6-4371-ad26-c4b9f63c750c · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b36aafb0-e41d-40ec-a0d0-a51b014515d3 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c2b6a353-6651-4e64-94c4-7359aaffc967 · outbound
This paper cites Fan, Improving the accuracy of the neuroevolution machine learning potential for multi-component sys- tems, Journal of Physics: Condensed Matter 34, 125902 (2022).
Exploring the energy landscape of aluminas through machine learning interatomic potential Fan, Improving the accuracy of the neuroevolution machine learning potential for multi-component sys- tems, Journal of Physics: Condensed Matter 34, 125902 (2022)
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 828b8345-2460-4d55-9053-1bbdcf7d1724 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 615a758b-25e9-4d81-88ee-8bdf26abc7bf · outbound
This paper cites de Koning, A.
Exploring the energy landscape of aluminas through machine learning interatomic potential de Koning, A
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 3bda089e-a94c-43ca-b0f9-5ce2da1b5b03 · outbound
This paper cites Freitas, M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Freitas, M
Reference 46
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5df097e1-b575-48a0-a7bf-6e60cd9e5c2f · outbound
This paper cites Cajahuaringa and A.
Exploring the energy landscape of aluminas through machine learning interatomic potential Cajahuaringa and A
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.463737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 81b40b60-b84e-4bed-91e4-f2f822556fcd · outbound
This paper cites Smrˇ cok, V.
Exploring the energy landscape of aluminas through machine learning interatomic potential Smrˇ cok, V
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.447384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bfef2854-d908-4f3d-8e57-ef462514edf4 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5067d069-62ea-4322-b296-26e3f3a385d5 · outbound
This paper cites Liu and J.
Exploring the energy landscape of aluminas through machine learning interatomic potential Liu and J
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.415118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation fb2be17c-b534-44fd-a684-d74ecbfb39e2 · outbound
This paper cites Kovarik, M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kovarik, M
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.399215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5f93e6dd-c678-499c-abbb-3593100c8542 · outbound
This paper cites Kovarik, M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kovarik, M
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.382457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f4834925-5b5e-485a-85a2-53b38941aebe · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.364075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9d8a552d-8e90-44a1-b747-96350b51258c · outbound
This paper cites Lee, C.-F.
Exploring the energy landscape of aluminas through machine learning interatomic potential Lee, C.-F
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.346522Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6a160f7b-84ef-4dd9-aa5d-23dbc05ad5ae · outbound
This paper cites Ealet, M.
Exploring the energy landscape of aluminas through machine learning interatomic potential Ealet, M
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.328535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c2fe6b3b-45bd-4577-9040-f374f2e2f341 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.310202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 49b1beb3-7f53-4013-8c9c-074136776696 · outbound
This paper cites Digne, P.
Exploring the energy landscape of aluminas through machine learning interatomic potential Digne, P
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.291946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c5382edd-4d07-4f13-988e-8d2102cc294d · outbound
This paper cites Paglia, C.
Exploring the energy landscape of aluminas through machine learning interatomic potential Paglia, C
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.273452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 83dba162-df1d-4d51-8e28-4416ee5be357 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.256174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a8c28450-188d-4336-9c46-b553de4924c2 · outbound
This paper cites Busca, Structural, surface, and catalytic properties of aluminas, in Advances in catalysis, Vol.
Exploring the energy landscape of aluminas through machine learning interatomic potential Busca, Structural, surface, and catalytic properties of aluminas, in Advances in catalysis, Vol
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.238369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8a06e6d9-3256-434a-8e9a-ef252548be37 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.220175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5f549cde-a1da-4f03-b728-4a081992f05e · outbound
This paper cites Paglia, E.
Exploring the energy landscape of aluminas through machine learning interatomic potential Paglia, E
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.202047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9f5411c4-ef12-4f19-bafe-5bedeeee6c6f · outbound
This paper cites Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys.
Exploring the energy landscape of aluminas through machine learning interatomic potential Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:47:49.025844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc24fda-ce70-4fa5-9f8d-a7b77a593135 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.171613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8f6a2161-ba7a-43ba-945a-15c7d84614c0 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.155099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a02602a-c0e9-4a8e-b920-d0a97d6b96b0 · outbound
This paper cites Kresse and J.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kresse and J
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.137683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 64d3e9d8-7c90-41b4-babb-0c59b56d04f9 · outbound
This paper cites Kresse and J.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kresse and J
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.119398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 14312546-0606-4fda-ad65-74176e6e94e5 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.101955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 31c651a4-79ab-4860-a1f2-534a13848aea · outbound
This paper cites Kresse and D.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kresse and D
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:47:49.061133Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c1dfb4-3d2a-43aa-ac05-153e21e94db3 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:47:49.066078Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 331c75ee-215f-423d-bde0-e5d41bea06b2 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.057373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 55e31c0d-1158-47f9-a118-552283c87037 · outbound
This paper cites Powell, C.
Exploring the energy landscape of aluminas through machine learning interatomic potential Powell, C
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:50.036038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation c8ad3bd5-6314-4591-a7b3-ffa30f4b47eb · outbound
This paper cites Togo and I.
Exploring the energy landscape of aluminas through machine learning interatomic potential Togo and I
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:47:49.082929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ffbb1dd-c110-4b28-97fd-2f0bbee4dad1 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 74
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:50.000015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0f949984-7b8f-4a6d-b586-614edadc0c08 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 75
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.983394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4692c708-dd09-4d96-bc57-60b68b20788b · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.966790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f6235947-a5df-4228-af2d-8776617a6179 · outbound
This paper cites Schneider, Cooperative determination of the melting point of alumina, Pure and Applied Chemistry 21, 115 (1970).
Exploring the energy landscape of aluminas through machine learning interatomic potential Schneider, Cooperative determination of the melting point of alumina, Pure and Applied Chemistry 21, 115 (1970)
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.949641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 94632f69-af04-4c11-9fc0-aba7060eaf44 · outbound
This paper cites Ansell, S.
Exploring the energy landscape of aluminas through machine learning interatomic potential Ansell, S
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.932868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ec60784c-0484-4c67-ad72-284c82039d84 · outbound
This paper cites Vashishta, R.
Exploring the energy landscape of aluminas through machine learning interatomic potential Vashishta, R
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.912156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation eae18a2d-8f79-4939-bb4e-a76268dba574 · outbound
This paper cites Vashishta, R.
Exploring the energy landscape of aluminas through machine learning interatomic potential Vashishta, R
Reference 80
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.895684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f5ac993f-9acd-4a35-b437-058dacfda6ee · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.878896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d6bc377b-2c0d-486d-9cc1-1beec451fe96 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 82
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.861150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b2948beb-ab0b-4572-98d6-c52ca7e518b4 · outbound
This paper cites Matsui, A transferable interatomic potential model for crystals and melts in the system cao-mgo-al2o3-sio2, Mineralogical Magazine 58, 571 (1994).
Exploring the energy landscape of aluminas through machine learning interatomic potential Matsui, A transferable interatomic potential model for crystals and melts in the system cao-mgo-al2o3-sio2, Mineralogical Magazine 58, 571 (1994)
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.844103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2217f1e7-c7bd-4f2e-a293-faf4c6f8c3ba · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 84
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.827153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 81265fd9-c444-4f05-94ee-3d0296e8d8d0 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 85
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.808647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a9efa14-17bb-478c-b6cf-d24b80043fd1 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 86
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.792768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bf752494-1dc3-44b4-98e1-321fccb956eb · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 87
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.776118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dc9cfa5e-3da7-477c-9e39-37021af312f5 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.758364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 47a5ebac-3f2d-482a-824a-dcbff95f7870 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.741834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 403aa2b5-555e-4a4e-aecc-56fb56b263c1 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 90
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.723766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b3fee38a-04d7-4bf6-94f0-471cf0eee30b · outbound
This paper cites critical size.
Exploring the energy landscape of aluminas through machine learning interatomic potential critical size
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.706136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5ac54f5c-c326-441e-95ab-0736dd92b143 · outbound
This paper cites Levin, L.
Exploring the energy landscape of aluminas through machine learning interatomic potential Levin, L
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.689677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 31101a09-ed40-4bf5-8228-907af7552a06 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 93
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.672195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5754c6ef-5c80-45ee-aee3-19fdc44b5ee1 · outbound
This paper cites Kachi, K.
Exploring the energy landscape of aluminas through machine learning interatomic potential Kachi, K
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.653879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d0b2c636-911b-40ad-90e0-f40b679c44ec · outbound
This paper cites Huang, X.
Exploring the energy landscape of aluminas through machine learning interatomic potential Huang, X
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.636134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a0a40e58-54f7-4298-9e4a-79e57c9d1103 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 96
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.619388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 48ef8ae9-95bf-409b-bda1-9cf6dadb60c2 · outbound
This paper cites Tsuchiya, T.
Exploring the energy landscape of aluminas through machine learning interatomic potential Tsuchiya, T
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.602354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9e395d18-7fe6-4fb1-a2b6-4753f1292b86 · outbound
This paper cites Caracas and R.
Exploring the energy landscape of aluminas through machine learning interatomic potential Caracas and R
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.583047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f4302fc3-77a9-4550-adfc-cc8a9a539b6e · outbound
This paper cites Umemoto and R.
Exploring the energy landscape of aluminas through machine learning interatomic potential Umemoto and R
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:47:49.566393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2190ade8-0923-4b32-a937-b1c2c5698604 · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 100
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.548102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 5a0996da-1cd1-4c50-aab7-2d499a8ced6d · outbound
This paper cites an unresolved cited work.
Exploring the energy landscape of aluminas through machine learning interatomic potential Unresolved cited work
Reference 101
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T23:47:49.531070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
Observation 2fa3d588-d097-4fb2-a91d-b1b003e4f304 · inbound
Advances in modeling complex materials: The rise of neuroevolution potentials cites this paper.
Advances in modeling complex materials: The rise of neuroevolution potentials Exploring the energy landscape of aluminas through machine learning interatomic potential
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:37:10.313278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.