Paper Citation Record · LEDGER

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials

As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2509.19968.

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

pith.paper-citation-record.v1
2509.19968 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T15:19:15.514740Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:26:12.908744Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T19:37:19.311374Z

Reference resolution

65 of 65 outbound references displayed

verified exact32
verified fuzzy0
unresolved33
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 352b6dfc-c9ce-47e2-9d0a-679d6e822bee · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-04T15:24:28.485020Z

Source-reported events for the cited work

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Observation 4938ecf4-6d06-49d6-af89-a36d6da4680e · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T15:24:28.326676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a537dac-5338-430f-94ad-05472e9b24e2 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-04T15:24:28.170439Z

Source-reported events for the cited work

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Observation ac254673-56da-4cac-8316-6882b9f84ca0 · outbound

This paper cites Grajciar , author C.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Grajciar , author C

Reference 4

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Source-reported events for the cited work

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Observation 9e76df8d-157e-4a68-b325-426eea78a38d · outbound

This paper cites Lykhach , author S.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Lykhach , author S

Reference 5

Resolution: verified exact; doi, observed 2026-08-04T15:24:28.072093Z

Source-reported events for the cited work

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Observation 0ee04ba9-cd5c-41f9-9067-b66d4f57afa9 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.920157Z

Source-reported events for the cited work

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Observation bc7fa7c6-fa7e-4638-b0c4-d7761428f022 · outbound

This paper cites Wang , author J.-X.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Wang , author J.-X

Reference 7

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.809261Z

Source-reported events for the cited work

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Observation 371e7395-5b25-44a7-aeb5-daa5d4b1cb66 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.663301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1cdf4f2-cead-4014-bd8a-f71217054274 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

Observation 77265360-d88a-4c60-a6d3-0d6d3d4cc043 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.552842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation adb4acac-7faa-413e-99a3-9a24f6385f71 · outbound

This paper cites \ Liu , author Y.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials \ Liu , author Y

Reference 11

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.408428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 61959bb5-8b3f-444e-ae88-3e8afa8dfacf · outbound

This paper cites Zhai \ and\ author A.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Zhai \ and\ author A

Reference 12

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.329189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02c84f6d-62ef-4d92-8f24-37613d120f44 · outbound

This paper cites Zandkarimi \ and\ author A.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Zandkarimi \ and\ author A

Reference 13

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.209138Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea873cef-a835-41a6-9f74-8e83ed5d327e · outbound

This paper cites Reichenbach , author M.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Reichenbach , author M

Reference 14

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Observation 613c2348-07f5-4896-a1db-cff70cae5a50 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 15

Resolution: verified exact; doi, observed 2026-08-04T15:24:27.045501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46d028ac-f855-4459-9897-bd100e0b9597 · outbound

This paper cites Behler \ and\ author M.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Behler \ and\ author M

Reference 16

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Observation 4049fb7b-4652-43f0-a7a0-016b7b4d1f3b · outbound

This paper cites Lubbers , author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Lubbers , author J

Reference 17

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Observation f38b88f0-12cf-45ac-95f3-42be52cb2788 · outbound

This paper cites u tt , author F. Arbabzadah , author S. Chmiela , author K. R. \ M\.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials u tt , author F. Arbabzadah , author S. Chmiela , author K. R. \ M\

Reference 18

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Source-reported events for the cited work

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Observation b088a44e-95ae-4da2-9be6-e23df402272b · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation 115b0885-825a-4e48-80af-55e2f49b138b · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 21

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 22

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Observation 1f15d35c-7378-43cb-a315-1792ac388add · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 23

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Observation ce11d6a7-804d-47b9-8801-3b68e066bc51 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 24

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 25

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Observation a7934b1e-b2c1-4bc9-9246-31edb8ec4ba6 · outbound

This paper cites Jinnouchi , author F.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Jinnouchi , author F

Reference 26

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Observation 4f9071e7-7826-43d8-ab84-cf36af8150fb · outbound

This paper cites Li , author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Li , author J

Reference 27

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Observation 13bcf17c-ced0-4ce7-a800-6278307ea82c · outbound

This paper cites Lin , author Y.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Lin , author Y

Reference 28

Resolution: verified exact; doi, observed 2026-08-04T15:24:26.726510Z

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Observation d948feca-0023-4655-b1f1-b0282df94650 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-04T15:24:26.605697Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8c77ad5-e786-4e4a-8915-069aa67a1786 · outbound

This paper cites Schmitz , author E.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Schmitz , author E

Reference 30

Resolution: verified exact; doi, observed 2026-08-04T15:24:26.509072Z

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Observation 2afaec5f-9cb1-4bf6-8493-265ac09463a0 · outbound

This paper cites Timmermann , author Y.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Timmermann , author Y

Reference 31

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Observation 5a6ce6a1-30ef-4f74-927b-6f383f10ee0d · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Xu , author X.-M

Reference 32

Resolution: verified exact; doi, observed 2026-08-04T15:24:26.294105Z

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Observation 8772a6b0-627a-4597-b0f8-2800dc1fe91e · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Observation 837a8fcf-6eac-42b0-bf91-61c946d05803 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Rønne , author M.-P

Reference 34

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Observation b275d43b-eafb-47a3-b266-fe6a2bfece22 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Chmiela , author A

Reference 37

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Klawohn , author J

Reference 39

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Observation 165362e4-284a-44c8-bb67-6e6b82185ce0 · outbound

This paper cites Reuter \ and\ author M.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Reuter \ and\ author M

Reference 40

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Source-reported events for the cited work

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Observation 443929f1-bdf9-4b76-a56d-89637e8ba71a · outbound

This paper cites Reuter , author C.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Reuter , author C

Reference 41

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Observation 4aa02c12-c887-4208-93a3-1cf3e4b4368e · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Observation 6eea1f46-c91e-4fbc-80ea-18037548f906 · outbound

This paper cites Bonilla-Petriciolet , author G.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Bonilla-Petriciolet , author G

Reference 43

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Observation 6855c6f2-a3ca-4be2-97fa-91b8efb09846 · outbound

This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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This paper cites Teh \ and\ author G.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Teh \ and\ author G

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This paper cites Zhang , author W.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Zhang , author W

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Observation ba4cefe3-6c1c-475e-9970-108fcdacdf88 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Chen , author C

Reference 47

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Observation e9607cae-c1b9-4b29-a0a3-330f1dcd9328 · outbound

This paper cites Couzini\' e , author Y.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Couzini\' e , author Y

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials \ Li , author Y.-F

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Observation 0df4eca8-b2c3-4fa8-b4a8-04af1ac63ec1 · outbound

This paper cites Calvo , author D.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Calvo , author D

Reference 50

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Observation 17d07e24-0df0-419a-9860-3a266afeb4c5 · outbound

This paper cites Bonilla-Petriciolet , author G.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Bonilla-Petriciolet , author G

Reference 51

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Observation ef01e93c-148b-4760-af5f-0c94a1e47d0f · outbound

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Observation 0919fe50-e3f0-4463-9e92-ceba44fc1194 · outbound

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

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Observation bdc55380-2ca4-4490-a2a5-1714e96122ca · outbound

This paper cites The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials

Reference 54

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Batatia , author D

Reference 55

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Observation 08cf1097-cb3a-4a6f-a3ae-f5bb5ba1f1f0 · outbound

This paper cites The FHI-aims Code: All-electron, ab initio materials simulations towards the exascale.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials The FHI-aims Code: All-electron, ab initio materials simulations towards the exascale

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This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 57

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This paper cites Burke , author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Burke , author J

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This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 59

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Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Kresse \ and\ author J

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This paper cites Kresse \ and\ author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Kresse \ and\ author J

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This paper cites Kresse \ and\ author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Kresse \ and\ author J

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This paper cites Kresse \ and\ author J.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Kresse \ and\ author J

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This paper cites Rogal , author K.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Rogal , author K

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Resolution: verified exact; doi, observed 2026-08-04T15:24:23.119159Z

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This paper cites an unresolved cited work.

Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials Unresolved cited work

Reference 65

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Pith citing papers

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Scalable Prediction of Complex Surface Reconstructions under Operating Conditions via Harmony-Search-Based Global Optimization cites this paper.

Scalable Prediction of Complex Surface Reconstructions under Operating Conditions via Harmony-Search-Based Global Optimization Efficient Grand Canonical Global Optimization with On-the-fly-trained Machine-learning Interatomic Potentials

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-02T19:37:19.312833Z

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