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Paper Citation Record · LEDGER

Universal Machine Learning Potentials under Pressure

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2508.17792.

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

pith.paper-citation-record.v1
2508.17792 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:48:26.179797Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:57:52.432370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:18:39.749481Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b0ab41f-1aa4-43ec-9bdd-ec2577071060 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:35.568396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.526563Z digest=sha256:c0a14323099d7a486a82b476b37ec49d5ab212c2cac90627dfb1bf6b5a4dd6b1

Observation 591f1999-0404-41cf-a96f-7945fc1735bd · outbound

This paper cites Zhang, Y.

Universal Machine Learning Potentials under Pressure Zhang, Y

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:35.273324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.570066Z digest=sha256:435b35858a9739ff29a6b660795d402382d46a92d7e9239788ffbd5ea6b5bb20

Observation 005e8fc9-6ef2-4a44-af70-a5eb4c96baa2 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:35.027261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.635694Z digest=sha256:1b6e5a2a94bfa85a8b6ab09a646bd5ebf3280b322b152e4a8605fc357de2b7d7

Observation da65c752-bf79-4c3e-998d-6509790a0e8f · outbound

This paper cites Loubeyre, F.

Universal Machine Learning Potentials under Pressure Loubeyre, F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:34.820030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.739992Z digest=sha256:a4935dae6113db482d6a61b5e81841f9e698679488390b00c8a30abeec016fe2

Observation ddb76796-15a3-4b71-85cd-102be570278b · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:34.533708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.840091Z digest=sha256:551053d8cae07ec67168a1d71f13f8698bcd1ce7df4b85be72f35618f7e259e0

Observation e1d1161e-e6d2-4f98-99af-3da4fc23ba00 · outbound

This paper cites Grochala, R.

Universal Machine Learning Potentials under Pressure Grochala, R

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:34.227950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:21.931214Z digest=sha256:183a1f911ec6cdbeff8a199dac3958c9c149492fbd28f8866a94df4bc86e439f

Observation 34e048f1-55ca-4741-a526-a062933c7c36 · outbound

This paper cites Popov, M.Kyotani, R.J.Nemanich,andY.Koga,Su- perhardphasecomposedofsingle-wallcarbonnanotubes, Phys.

Universal Machine Learning Potentials under Pressure Popov, M.Kyotani, R.J.Nemanich,andY.Koga,Su- perhardphasecomposedofsingle-wallcarbonnanotubes, Phys

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:33.949543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.034630Z digest=sha256:451f40332d0b4bb657170274313d34a2de143f425a96f0bb1a98e8567de1d2d0

Observation 7d53f5eb-d6a9-4e66-a2b1-bad9c0ff6ebe · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:33.701254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.135754Z digest=sha256:22eb42041a53bd9fc6321ee01c4f797376639ea0c8bbe4d4f95b700af38b8afc

Observation 383d3563-58ff-4617-b0d6-45f2433d1474 · outbound

This paper cites Tang, H.-w.

Universal Machine Learning Potentials under Pressure Tang, H.-w

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:33.453911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.275095Z digest=sha256:8eea667e043f092f8f4ba065b722c6177d994368b176c6806fe2b20b0c488674

Observation ec9b3080-fd18-461e-b94b-f991fe0d7e90 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:33.171114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.370732Z digest=sha256:ace58a6b845407feaceffcb8deeeb4343b4966c1a718fb1c16d45862ad6f8b3f

Observation cc501d25-6faa-4b3a-bc4a-2be082bf93a3 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:32.903901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.454956Z digest=sha256:ba84054e0a64b8626768f5bb6fb3993cb0bd8b1adeb617e9bb9d77fa931a7f63

Observation 71f5d2d4-4383-42fc-9030-2387d64e372a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:32.634855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.508858Z digest=sha256:01c3c2c591b0a21dfca190fed9853f6a621f5e4b4d0cb3186de2441c19f6da02

Observation 4a27e4ab-a622-4b48-b1d3-a7c7e21d0676 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:32.463927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.600515Z digest=sha256:520e8dd5dd3cdc68652177a2475ec86440728a848ff16530e13ddb3464d720ba

Observation 6500f618-f20f-419d-a62c-905458cad195 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:32.229510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.656414Z digest=sha256:ce0d8d3af2d2165c2cdefaee1afd72445f221aea62363d1ac59f04dbcdac3999

Observation 1a7f8c69-e266-464b-860b-16c80160277c · outbound

This paper cites Sun, H.-T.

Universal Machine Learning Potentials under Pressure Sun, H.-T

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:31.951011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.748322Z digest=sha256:3522e4f234b3e38d553a871759672be29450900f13ef76bb09b8bd1cf12447fe

Observation ef4d87b3-a226-440e-a301-a2bb9afff7c8 · outbound

This paper cites Napiórkowska, K.

Universal Machine Learning Potentials under Pressure Napiórkowska, K

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:31.740789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.835087Z digest=sha256:c657235707bf3a66a78aaab509e2f1ae7cc2e23399720bd858b3c99992f45429

Observation 50289545-533f-45f7-9a43-fdd0c25fac80 · outbound

This paper cites Zeller, C.

Universal Machine Learning Potentials under Pressure Zeller, C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:31.523309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:22.918239Z digest=sha256:c63cb288fdb17f7c3fd424f6068966b7b325a74a5bec50cad9d9b6b39dfa0795

Observation d284fa96-0baa-49a7-984e-b7be7eec344b · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:31.331024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.008805Z digest=sha256:8047abd4c0efbf2d9bce2eaf50f9c878ff32089a7b2e3895bacc8c4d407a3c41

Observation b57af383-d00f-4485-9b19-2d5b7e2fff5d · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations, J.

Universal Machine Learning Potentials under Pressure Behler, Perspective: Machine learning potentials for atomistic simulations, J

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:23.092305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:23.092305Z digest=sha256:53bccf57d6fe2c1ceadc00941421b71bd3c385e2f2a7f7b2a285babf5c387e6c

Observation 5e6b5e8a-9a07-47a0-a6ec-757740041814 · outbound

This paper cites Thompson, L.

Universal Machine Learning Potentials under Pressure Thompson, L

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:31.158482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.177696Z digest=sha256:f8978a2273773f4ead3fb839c3201e962508e0c9fe3aa049ee523dd587fee7cd

Observation 9f53c0d1-b167-4445-bb8a-49e7ffc20715 · outbound

This paper cites Graser, S.

Universal Machine Learning Potentials under Pressure Graser, S

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:30.937375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.271401Z digest=sha256:7aea0632897fa77c88c6b5c2c3000a4187cb66d9059f17cdfa62ffa48592317d

Observation 8f8012f2-d0ff-4341-af5a-62939c543a29 · outbound

This paper cites Schmidt, M.

Universal Machine Learning Potentials under Pressure Schmidt, M

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:30.649106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.350431Z digest=sha256:0c2814345cba56e53cf85d09a198fd4c429e8d215fc07cbc62e98070c4e7dce4

Observation e23a26ad-9982-4afe-8cb4-c66499933949 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:30.381492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.494170Z digest=sha256:53cd4e8a2846c53bea84bfadef586b621346912d87f78471102a8966934e2dc7

Observation 6a2e03b4-aff8-4a0e-9583-797488f3a58a · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:23.585485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:23.585485Z digest=sha256:662c3004e7c91bd9f97b2a4142a6c7a47487e52fccf10990fb7ddd03690ea2eb

Observation 81e6ac07-8c3b-4a2f-b899-e354579c0d0e · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:30.073725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.687442Z digest=sha256:20f692f5abc423bb10a5f336fa746c480166b16eaa1779e773690ed57e925d0d

Observation 7e685151-1703-4d39-8092-76de2d332230 · outbound

This paper cites P.Ong, G.Hautier, W.Chen, W.D.Richards, S.

Universal Machine Learning Potentials under Pressure P.Ong, G.Hautier, W.Chen, W.D.Richards, S

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:29.738579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.769869Z digest=sha256:36175c861435b0d0e9b723977e74a8e61d8f65ef99d00555933045e07ca0efd9

Observation 1d1619f6-86dd-4d99-b78c-d832c0a19db6 · outbound

This paper cites Kirklin, J.

Universal Machine Learning Potentials under Pressure Kirklin, J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:29.468785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.830197Z digest=sha256:2b04257e94eba188575d89b60ff0c04e4f2974a6e1710dccbca852eb5bcb8a71

Observation 975606e5-aa01-469a-8b80-b5730d25be22 · outbound

This paper cites Curtarolo, W.

Universal Machine Learning Potentials under Pressure Curtarolo, W

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:29.146724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.894976Z digest=sha256:042d2c7ef0ed23eb00dbee176e8feddd2fb1a52d08e48496fe3f242cd3ffc89f

Observation 23351af2-00c3-43aa-861e-ef80d169643b · outbound

This paper cites Schmidt, T.

Universal Machine Learning Potentials under Pressure Schmidt, T

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:28.875216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:23.999368Z digest=sha256:c81083471d10c573e419138adf2cc19a18c20d73457d7959f3165f53a138e519

Observation a27f1a70-04c4-4fd8-8df9-3cd7499c7786 · outbound

This paper cites Scheidgen, L.

Universal Machine Learning Potentials under Pressure Scheidgen, L

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:28.636723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:24.115083Z digest=sha256:f67edb58c5c2eca68db6317faec10b1a5cdca4d8df2299c37751e5dbacca09d6

Observation f5017642-1a5b-47f9-a098-2c2bb67e20a0 · outbound

This paper cites Chen and S.

Universal Machine Learning Potentials under Pressure Chen and S

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:48:28.374216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:24.211066Z digest=sha256:323051d62943c1477b260264d880e9c89bf55b2884ddcdc131b765052300f1db

Observation 0faa09e1-0447-40aa-bd79-4c0c0fafceba · outbound

This paper cites Orb: A Fast, Scalable Neural Network Potential.

Universal Machine Learning Potentials under Pressure Orb: A Fast, Scalable Neural Network Potential

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:24.283804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:24.283804Z digest=sha256:0613ee987f3ac283b319154dc44c07bdd36e918edc5c3f926d681c155d940a63

Observation f1d0bf73-c46a-4733-9e56-5b127ae1bbf7 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:28.046411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:24.342739Z digest=sha256:5461107e2acbccc06a48e9cd6634f9c59c44106d9f4052d0ac6151e8a68fc9c3

Observation 7c457218-59c7-460d-ba66-93355b5a42ae · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:27.721894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:24.428626Z digest=sha256:460f5deeb1dafda2f74faf69799d5f6e172a212b9219c02091213ade93f4a3b3

Observation b760a908-3035-4dbb-a061-55eb8fb7f6b1 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:48:27.476186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T16:48:24.546512Z digest=sha256:f1632c8b16ea5cebe413dfb26d6b90b813f2a94862885e6046a065c712816a40

Observation 10ac8f2f-9098-464f-8c76-80489cab0d75 · outbound

This paper cites Choudhary and B.

Universal Machine Learning Potentials under Pressure Choudhary and B

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:24.611649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:24.611649Z digest=sha256:dd590e81e3c5cc169736d8bc1f232e2b665b7c150644802b96cf222203c05c18

Observation 42dc3dfc-d84b-426f-ac34-f5b9ecae1a8c · outbound

This paper cites MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures.

Universal Machine Learning Potentials under Pressure MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:24.668848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:48:24.668848Z digest=sha256:21976b8e341304a52c41bd7b26ea8ed386ff919691ec4ab1eea030a153fba5a4

Observation e454d2fb-1d80-41a6-bee0-64e1d90a8408 · outbound

This paper cites Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models.

Universal Machine Learning Potentials under Pressure Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T16:48:24.754351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e739fdd4-59cb-4aa5-8d88-d7bb68c1fdbd · outbound

This paper cites The OpenLAM Challenges.

Universal Machine Learning Potentials under Pressure The OpenLAM Challenges

Reference 39

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Observation 438aefad-10c4-47b4-a2bb-ebd06a7df5c7 · outbound

This paper cites an unresolved cited work.

Universal Machine Learning Potentials under Pressure Unresolved cited work

Reference 40

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Observation a40e38c0-a43c-4590-87ba-e381410aff15 · outbound

This paper cites Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions.

Universal Machine Learning Potentials under Pressure Matbench Discovery -- A framework to evaluate machine learning crystal stability predictions

Reference 41

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Observation eed59ce7-6692-4afb-b04b-bf0b96e04bb3 · outbound

This paper cites MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Universal Machine Learning Potentials under Pressure MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields

Reference 42

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Observation 0e2ed2d3-38a8-469f-8f88-056165afa715 · outbound

This paper cites Batzner, A.

Universal Machine Learning Potentials under Pressure Batzner, A

Reference 43

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Observation 50194834-9c29-4fec-b5bc-542d51447640 · outbound

This paper cites Zhang, A.

Universal Machine Learning Potentials under Pressure Zhang, A

Reference 44

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Observation 15af991e-d476-4d55-adb2-7c6ad4052363 · outbound

This paper cites Bochkarev, Y.

Universal Machine Learning Potentials under Pressure Bochkarev, Y

Reference 45

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Observation ee7ee4f2-2516-414d-9e65-d2c1d0a19dc8 · outbound

This paper cites Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys.

Universal Machine Learning Potentials under Pressure Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys

Reference 46

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This paper cites Orb-v3: atomistic simulation at scale.

Universal Machine Learning Potentials under Pressure Orb-v3: atomistic simulation at scale

Reference 47

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Observation 1382429b-d4ef-474c-8642-44273d5d8a33 · outbound

This paper cites Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction.

Universal Machine Learning Potentials under Pressure Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction

Reference 48

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Observation 42d8fad4-06dc-47c1-8d2c-e8120047a072 · outbound

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Universal Machine Learning Potentials under Pressure Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Reference 49

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Observation 6a3a16af-8b51-487b-9d6d-bf3fe5131de8 · outbound

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Universal Machine Learning Potentials under Pressure Kresse and J

Reference 50

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Observation b98e34e6-9726-45a7-83cc-6f18e99a0581 · outbound

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Universal Machine Learning Potentials under Pressure Kresse and J

Reference 51

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Observation 943b470c-3127-40ce-a016-ca08b2065ac2 · outbound

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Universal Machine Learning Potentials under Pressure (facebookresearch), fairchem: Fair chemistry’s li- brary of machine learning methods for chemistry,https: //github.com/facebookresearch/fairchem (2025), ac- cessed: 2025-08-17

Reference 52

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Pith citing papers

Observation 77644269-d7c3-41c7-ae1e-ccbdb742f3fa · inbound

Active learning and explicit electrostatics enable accurate modeling of electrolytes cites this paper.

Active learning and explicit electrostatics enable accurate modeling of electrolytes Universal Machine Learning Potentials under Pressure

Reference 13

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Observation 183abe3b-3f39-4273-99d8-fc2612e32d00 · inbound

AI-Driven Expansion and Application of the Alexandria Database cites this paper.

AI-Driven Expansion and Application of the Alexandria Database Universal Machine Learning Potentials under Pressure

Reference 62

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Observation eef583bc-e23d-4dab-b5e9-8eb7eea6db15 · inbound

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python cites this paper.

VASP Plugins: Linking the Vienna ab-initio Simulation Package with Python Universal Machine Learning Potentials under Pressure

Reference 236

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