Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T20:24:26.185010Z
Paper Citation Record · LEDGER
Performance of universal machine learning potentials in global optimization of inorganic crystal structures
As of 18 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 0 inbound Pith citation observations for arXiv:2602.23515.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 100 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved99
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5bfd8a8b-8f6a-4fdf-a664-519d6a246326 · outbound
This paper cites Behler and M.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Behler and M
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcf2cebc-3dce-41e6-ace8-29eff6081533 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 2
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Unavailable: canonical work link unavailable.
Observation 4b3c0348-6129-40e9-a524-4980ecf9fb19 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 3
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Observation 6aba2ca2-8a84-49a3-9727-e24f29d1d2cb · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 4
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Unavailable: canonical work link unavailable.
Observation 81352486-f1b7-4a8f-a0a0-6287fad48e94 · outbound
This paper cites Mishin, Machine-learning interatomic potentials for materials science, Acta Materialia 214, 116980 (2021).
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Mishin, Machine-learning interatomic potentials for materials science, Acta Materialia 214, 116980 (2021)
Reference 5
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Observation b7675555-597d-4f6f-990c-56ac2d3fbe8b · outbound
This paper cites Huang, C.
Reference 6
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Observation f3e580e5-ab5a-4a94-b031-b85f5f883897 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 7
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Observation d485e245-ebf2-44be-bee8-5aab7f94488b · outbound
This paper cites Behler, R.
Reference 8
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Observation 47cfa683-5464-416c-b73c-3a16e09a277f · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f32eebae-afad-4fe2-b4a9-afd2ef684bf1 · outbound
This paper cites Ibarra-Hern´ andez, S.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Ibarra-Hern´ andez, S
Reference 10
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- unresolved
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Unavailable: canonical work link unavailable.
Observation defba2f3-0a34-49d2-b0df-8d57e9b4fc4c · outbound
This paper cites Kharabadze, A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Kharabadze, A
Reference 11
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Observation ef914ab8-5f52-4c10-959a-9f6bb1b9ef9e · outbound
This paper cites Thorn, D.
Reference 12
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Observation 57a69ab8-4574-4e94-bbf5-8068790851cf · outbound
This paper cites Ouyang, Y.
Reference 13
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Observation 1901ac49-dd5d-49e7-a2ac-3de6abe582de · outbound
This paper cites Gubaev, E.
Reference 14
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Unavailable: canonical work link unavailable.
Observation 2b3fbcdb-7736-411d-9e6b-c54448d31091 · outbound
This paper cites Hajinazar, J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Hajinazar, J
Reference 15
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9d54681-a015-4f12-8407-3cbc3abfbe63 · outbound
This paper cites Hajinazar, A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Hajinazar, A
Reference 16
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Unavailable: canonical work link unavailable.
Observation d14825fe-f3ce-4f73-9d33-a69877208275 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 17
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Observation 0b24136b-8f9f-45e2-ad0b-e2bb7f449726 · outbound
This paper cites Artrith, T.
Reference 18
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Observation d29e04eb-de0a-41c9-91d1-2ad89158c327 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 19
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Unavailable: canonical work link unavailable.
Observation 08a9bb01-b6ae-4e2d-9ab9-779624cf9bc4 · outbound
This paper cites Chen and S.
Reference 20
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Unavailable: canonical work link unavailable.
Observation f4d89109-9153-4d42-aa5a-dfd970dd5044 · outbound
This paper cites Thermal Conductivity Predictions with Foundation Atomistic Models.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Thermal Conductivity Predictions with Foundation Atomistic Models
Reference 21
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Observation 6f1a74cb-e42d-4414-9466-bb94e9dcff43 · outbound
This paper cites Sharma, A.
Reference 22
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Observation 5d2cc348-4047-47d6-9ab4-b23256756cea · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation 7f0e2652-25aa-4811-88a3-d80030ead0b8 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 24
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Unavailable: canonical work link unavailable.
Observation 4e21dcf1-1780-4241-ba29-c3957d792af5 · outbound
This paper cites Riebesell, R.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Riebesell, R
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a49bfe7-9f16-4843-a29c-e041815b9eef · outbound
This paper cites Chiang, T.
Reference 26
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Unavailable: canonical work link unavailable.
Observation 57dee1a1-0db3-47ca-88ff-650aff70de9e · outbound
This paper cites Tahmasbi, A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Tahmasbi, A
Reference 27
- Resolution
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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 5ff6a5af-77eb-47aa-9673-7a15b995ec13 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 28
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Unavailable: canonical work link unavailable.
Observation 3c6f97bb-ee53-4cbf-8017-144c2d9069ec · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 29
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0abc17e2-f9eb-4ec4-8ab9-76ddb043b454 · outbound
This paper cites Lyngby, C.
Reference 30
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Observation 6d0b625e-595a-4ff4-8703-35a2b2b66651 · outbound
This paper cites Mair, H.-G.
Reference 31
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Observation 687f06b2-feb0-49f9-ab2c-86e5b73d40fe · outbound
This paper cites Wang, H.-Y.
Reference 32
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Unavailable: canonical work link unavailable.
Observation 18b6de7d-a289-437c-85a9-13197c81fdc4 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 33
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Observation 7f2d6b03-27bb-41bf-bdec-aae47a693b9f · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 34
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Unavailable: canonical work link unavailable.
Observation 91e63d8c-6297-4ae4-a2a4-4e63ed6489e8 · outbound
This paper cites Hermann, N.
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d096050a-5c66-4274-809e-26095c25e719 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 36
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Unavailable: canonical work link unavailable.
Observation 6d902318-0040-4169-a372-02e7bee5d80a · outbound
This paper cites Eguchi, D.
Reference 37
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Observation 861fe662-b55c-4a68-be8e-2b3bbb17d01e · outbound
This paper cites Ahn, H.-J.
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90a1c277-53ed-4080-b2e1-48e6bb7b174a · outbound
This paper cites Errandonea, L.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Errandonea, L
Reference 39
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Observation 04edc2fc-0fb3-4d93-854a-cfdf022b4ee4 · outbound
This paper cites Zhang, J.
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aefdf0c0-0961-41d2-8a43-014ba5ecce94 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 41
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Observation 2f148891-8662-45d4-965f-587f110331a5 · outbound
This paper cites Batatia, D.
Reference 42
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Observation 95389da7-24dd-4cca-8c61-7f8fdfdabdcb · outbound
This paper cites Batatia, S.
Reference 43
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Observation abeca4c4-eeb1-4b5d-9aa8-05b4a574b63c · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 44
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Unavailable: canonical work link unavailable.
Observation ccb3d091-809e-4dc6-b79f-e4743a301d66 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 45
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Unavailable: canonical work link unavailable.
Observation 6f8bbd00-6303-4be2-897c-1da600bc8cd6 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 46
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Unavailable: canonical work link unavailable.
Observation 7be941a7-96b2-4e9d-8d19-9bfae4e6275c · outbound
This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
Reference 47
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Observation 719785fb-63d2-4873-a67b-cfd50dc68ad7 · outbound
This paper cites Liao and T.
Reference 48
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Observation 27be34d6-7d45-46d5-a842-7b590d2c2e92 · outbound
This paper cites Chanussot, A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Chanussot, A
Reference 49
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Observation 9e1f8b5a-716c-4892-b16e-c4ed66e66039 · outbound
This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures
Reference 50
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d5c6eaa-bbcd-4c24-a7e6-dfbd3d8e9567 · outbound
This paper cites Bochkarev, Y.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Bochkarev, Y
Reference 51
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Unavailable: canonical work link unavailable.
Observation 14420a81-4495-45b4-8cef-54aaa57b133e · outbound
This paper cites Lysogorskiy, A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Lysogorskiy, A
Reference 52
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Unavailable: canonical work link unavailable.
Observation 589db86a-b090-4247-99f8-e910e6c0a6f6 · outbound
This paper cites Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
Reference 53
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66724d7-384e-4f94-ab6f-d036d977b3b5 · outbound
This paper cites Orb-v3: atomistic simulation at scale.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Orb-v3: atomistic simulation at scale
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a124cda-042b-4948-9e52-90cb4e36afcc · outbound
This paper cites Orb: A Fast, Scalable Neural Network Potential.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Orb: A Fast, Scalable Neural Network Potential
Reference 55
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Unavailable: canonical work link unavailable.
Observation ebc21d66-fad0-4748-b7a8-05376bae4b6d · outbound
This paper cites Mazitov, F.
Reference 56
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 162fc9b1-88d1-49ef-9f0a-6e00099cc4cb · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d917b96-0f5b-406a-868f-0f41906ad65c · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 58
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a249373-50ac-462b-a21d-089d3944de19 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 59
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38d8c77c-1cfe-4b81-a280-8184c0994a88 · outbound
This paper cites Kresse and J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Kresse and J
Reference 60
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e7291e4-f76d-479b-ac4f-26f5d66a3069 · outbound
This paper cites Kresse and J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Kresse and J
Reference 61
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0886d53-034a-4125-ae35-1cb09ce374f5 · outbound
This paper cites Kresse and J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Kresse and J
Reference 62
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dff8c6c-7623-4548-871c-31fcaa7fa0ad · outbound
This paper cites Kresse and J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Kresse and J
Reference 63
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69dac5d7-ea05-4b56-82b5-9a62ec71b7ae · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 64
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dbd732a-82b0-4b56-9de5-9299a61299a3 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 65
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 280b13fd-c84d-4726-9682-454e5d7d3eb8 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 66
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf17b228-7dff-48b8-97be-dd09d5fb64bf · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 67
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9ce5ea1-2b26-49d0-9eed-a9462a417ce1 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 68
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98459d91-8da5-4123-ab21-6e5db344ecab · outbound
This paper cites Klimeˇ s, D.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Klimeˇ s, D
Reference 69
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b95643-4802-4967-8197-4f193e17ee49 · outbound
This paper cites Klimeˇ s, D.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Klimeˇ s, D
Reference 70
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Source-reported events for the cited work
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Observation 8951b2fc-3533-4218-9752-52a2407866f8 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 71
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c641a6fa-d8cb-4e39-8845-fe9e2e7f33f1 · outbound
This paper cites Chakraborty, K.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Chakraborty, K
Reference 72
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Observation 2b41eca4-780e-404c-adc6-db43e1af819a · outbound
This paper cites Batzner, A.
Reference 73
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Source-reported events for the cited work
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Observation af307d86-cccd-40bd-9bb6-e4555d934e7e · outbound
This paper cites Passaro and C.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Passaro and C
Reference 74
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32d44607-31a9-456e-829f-794e432e062e · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 75
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45df13c9-3a57-4e75-a60a-19b6c32d4ac0 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 76
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Source-reported events for the cited work
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Observation 3e670e25-4381-4abf-adb7-f4b972f67e7c · outbound
This paper cites Thorn, J.
Reference 77
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b4ffc6a-fea6-4164-80ff-dc9a714b2a70 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 78
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 031c73e9-0b47-413a-84dc-ebebfa826662 · outbound
This paper cites Gochitashvili, M.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Gochitashvili, M
Reference 79
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Observation 005d892e-5f2d-4e77-a9f3-274bebb937b5 · outbound
This paper cites Van Der Geest and A.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Van Der Geest and A
Reference 80
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Source-reported events for the cited work
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Observation 9409273b-b8e8-4cc2-a0a4-4487a5d1c113 · outbound
This paper cites Pham and D.-L.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Pham and D.-L
Reference 81
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Source-reported events for the cited work
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Observation fe485dc0-34e9-4837-b08e-f0933421f53a · outbound
This paper cites H¨ aussermann and S.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures H¨ aussermann and S
Reference 82
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Observation d325a220-b2cf-4161-b59b-30d6e4440efd · outbound
This paper cites Wedig, H.
Reference 83
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Source-reported events for the cited work
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Observation 13951678-1b43-4a1c-9fc8-07f51c368fb7 · outbound
This paper cites Takemura, The zinc story under high pressure, J.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Takemura, The zinc story under high pressure, J
Reference 84
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3cf745bc-22b8-4191-bc1d-c9b62bcdc40a · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 85
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8758613f-5b31-4f02-989f-40b821029363 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 86
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80774d74-641b-4a5c-84dd-d44f34166546 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 87
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 953f3726-c311-4a97-ad14-38059bbbcf5d · outbound
This paper cites Knappschneider, C.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Knappschneider, C
Reference 88
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef00f516-d307-4b89-b32a-525b4fe52735 · outbound
This paper cites Knappschneider, C.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Knappschneider, C
Reference 89
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c08313b-d768-4fdf-be7b-5150cdad2fe1 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 90
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0b4509c-646d-47c4-8052-5d792294b36c · outbound
This paper cites Xiang, Y.
Reference 91
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 943b9c75-59dd-4444-87a7-4c48ff14eec5 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 92
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac80260a-9291-499c-955b-f45892461bf8 · outbound
This paper cites W¨ orle and R.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures W¨ orle and R
Reference 93
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Source-reported events for the cited work
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Observation 29957955-00a5-4247-99af-c769f7e814f7 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 94
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e0889ae-164b-443a-a51d-ef74610af322 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 95
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f98ae14-c059-49b3-a0a3-c551680bea06 · outbound
This paper cites Hermann, A.
Reference 96
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f516410c-417c-493c-b3fa-c4a9346f8011 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 97
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c52a2d0-a5ce-43a2-b71d-4821c0c7de03 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 98
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3070b921-595e-421a-94bc-c197fa88efa9 · outbound
This paper cites an unresolved cited work.
Performance of universal machine learning potentials in global optimization of inorganic crystal structures Unresolved cited work
Reference 99
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4586fac7-0a92-413c-b9d2-89981136cb61 · outbound
This paper cites Towns, T.
Reference 100
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.