Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets | Paper Citation Record

Observation 7d3b0338-3e4e-4d86-a71c-b3664925bd6e · outbound

This paper cites Carrasquilla and R.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Carrasquilla and R

Reference 1

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Observation 63d34a2f-1eb8-4c5d-a9b0-6a210e9483fa · outbound

This paper cites Carleo and M.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Carleo and M

Reference 2

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Observation 1895416a-e40a-4cdc-a7e7-870b00436765 · outbound

This paper cites van Nieuwenburg, Y.-H.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets van Nieuwenburg, Y.-H

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:38.553871Z

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Observation b75735d5-2f83-4af8-92b0-4de6f823282a · outbound

This paper cites Das Sarma, D.-L.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Das Sarma, D.-L

Reference 4

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Observation 3dc0e0d0-cbda-4c33-b55a-52a6744e6791 · outbound

This paper cites Bedolla, L.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Bedolla, L

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:38.404555Z

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Observation 9d11977e-bd1a-4598-9740-52c5f2928385 · outbound

This paper cites Carleo, I.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Carleo, I

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.312359Z

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Observation e0db56a6-214a-4ad3-94bd-178a37d59b7c · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.367168Z

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Observation 9d3fc6f7-f864-4cd3-93ac-b7187853ffe4 · outbound

This paper cites Boehnlein, M.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Boehnlein, M

Reference 8

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Observation 7e4d6401-e9e1-4885-b594-032d177ef7ca · outbound

This paper cites Cybenko, Approximation by superpositions of a sig- moidal function, Mathematics of Control, Signals and Systems 2, 303 (1989).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Cybenko, Approximation by superpositions of a sig- moidal function, Mathematics of Control, Signals and Systems 2, 303 (1989)

Reference 9

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Observation 2ae487d4-8aa7-4ae3-8a80-36bc9fcd04b9 · outbound

This paper cites Hornik, M.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Hornik, M

Reference 10

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Observation 69016fd3-aece-42b8-9e21-ddc77b67aa25 · outbound

This paper cites Barron, Universal approximation bounds for super- positions of a sigmoidal function, IEEE Transactions on Information Theory 39, 930 (1993).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Barron, Universal approximation bounds for super- positions of a sigmoidal function, IEEE Transactions on Information Theory 39, 930 (1993)

Reference 11

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Observation af8a2e33-b76d-469c-9dd1-09f2169c4ac3 · outbound

This paper cites Behler and M.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Behler and M

Reference 12

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Observation 67ac5a3d-2205-4a2a-94d9-e35af5ee7c90 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 13

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Observation 575ded9a-9e10-4c39-ac55-facff5c046f9 · outbound

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Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.515255Z

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Observation 1e777570-6f93-4b64-88bf-1635ebd952fc · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.604676Z

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Observation e55b47e4-9884-4cc5-9205-ada85b18364d · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 16

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Observation 8e617c2b-f8f6-418e-a325-06dce74a5a2d · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 17

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Observation 9f0ea211-2912-4479-a8e5-471b8c39333b · outbound

This paper cites Zhang, J.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Zhang, J

Reference 18

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Observation bc3f66d0-86ac-40da-944e-d10bd2316643 · outbound

This paper cites Behler, Perspective: Machine learning potentials for atomistic simulations, The Journal of Chemical Physics 145, 170901 (2016).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Behler, Perspective: Machine learning potentials for atomistic simulations, The Journal of Chemical Physics 145, 170901 (2016)

Reference 19

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Observation 6cc7a27b-007f-4b51-863d-45125ab17693 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.812969Z

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Observation b8a30a1f-5c0d-469b-8b39-c66ec503e820 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.818178Z

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Observation 877a34e9-6106-4d79-9393-2e250a09eaf1 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:34.921723Z

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Observation fb55b0f6-6327-4ae8-8c66-67b47d9205c9 · outbound

This paper cites Chmiela, A.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Chmiela, A

Reference 23

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Observation 367e1449-dcb3-40f6-af81-a991fc617376 · outbound

This paper cites Chmiela, H.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Chmiela, H

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.044618Z

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Observation 1c1e12df-bc7e-4061-be91-09a83e86b7ad · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.095846Z

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Observation d993f0ca-df29-462f-a585-06d9935d0ab6 · outbound

This paper cites Marx and J.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Marx and J

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.113111Z

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Observation 7b282f1c-d177-4016-b6b2-d6780cadb257 · outbound

This paper cites Kohn, Density functional and density matrix method scaling linearly with the number of atoms, Phys.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Kohn, Density functional and density matrix method scaling linearly with the number of atoms, Phys

Reference 27

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Observation 5c1c67fd-56b7-4946-92f6-a97c25a66a19 · outbound

This paper cites Prodan and W.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Prodan and W

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.122538Z

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Observation bc71340b-7d90-4463-b3a5-e518075923a3 · outbound

This paper cites Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 29

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Observation 28f37276-bfd5-43a7-8ad5-eb34043df43e · outbound

This paper cites Zhang, P.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Zhang, P

Reference 30

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Observation c127953f-ad94-40a1-941b-46f1b6740486 · outbound

This paper cites Cheng, S.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Cheng, S

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.358438Z

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Observation b8eb76b2-6d62-4b0f-80a5-e9397b9ad7f6 · outbound

This paper cites Machine learning dynamics of phase separation in correlated electron magnets.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Machine learning dynamics of phase separation in correlated electron magnets

Reference 32

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Observation 6fab588a-4fd8-4c0a-8aca-ad50b84eb4e6 · outbound

This paper cites Zhang and G.-W.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Zhang and G.-W

Reference 33

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Observation 33faa72e-9a5e-4831-b454-0f7d6d7aee61 · outbound

This paper cites Zhang and G.-W.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Zhang and G.-W

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:35.416574Z

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Observation ed5ef745-e390-4532-8d80-0278cc92d77b · outbound

This paper cites Cheng, S.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Cheng, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:38.024890Z

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Observation 211cf41f-f6ca-47ce-aa94-81995e01cbb7 · outbound

This paper cites Arale Br¨ annvall, D.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Arale Br¨ annvall, D

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:38.008490Z

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Observation 879f8a3a-cd44-45c8-a310-f540d933b0a0 · outbound

This paper cites Novikov, B.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Novikov, B

Reference 37

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Observation 1c07d85e-813a-430d-9b43-964df2b90368 · outbound

This paper cites Stoll, K.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Stoll, K

Reference 38

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Observation 00fe1872-9977-4f90-87b5-cd6ddfd1bd8c · outbound

This paper cites Binder and H.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Binder and H

Reference 39

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Observation 003e43c0-0da9-4179-9e44-4f216aadeba3 · outbound

This paper cites Zener, Interaction between the d-shells in the transi- tion metals.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Zener, Interaction between the d-shells in the transi- tion metals

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.951128Z

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Observation a949d5a8-86c8-4290-b3b4-f17d4ca3ad38 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:53:37.882667Z

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Observation ba0cba65-7d37-4764-ac92-95883d74bc99 · outbound

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Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:53:37.826631Z

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Observation e18e769b-09d3-4579-ba3e-bd3433988d5e · outbound

This paper cites Dagotto, Nanoscale Phase Separation and Colossal Magnetoresistance (Springer Berlin, 2002).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Dagotto, Nanoscale Phase Separation and Colossal Magnetoresistance (Springer Berlin, 2002)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.784763Z

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Observation 8ded1c71-c6b4-4b0e-9ff4-1618dc57c6cb · outbound

This paper cites Dagotto, T.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Dagotto, T

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.715993Z

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Observation 9e4d86c3-2ab6-425f-a590-9c3f7b4268c1 · outbound

This paper cites Uehara, S.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Uehara, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.648808Z

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Observation 82b4de05-87bb-4f5b-8d2d-7e319605700a · outbound

This paper cites Yunoki, J.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Yunoki, J

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.509187Z

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Observation 95c53094-2f53-4bcc-b850-23f49a988db7 · outbound

This paper cites Dagotto, S.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Dagotto, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.492243Z

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Observation c667f861-768f-4440-b4fd-92ab132b57fa · outbound

This paper cites Motome and N.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Motome and N

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.419038Z

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Observation 006c2aa4-298b-4166-bbde-2d69235e431e · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.254137Z

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Observation 692f25a0-60e6-49ea-b42d-76bde893a5c0 · outbound

This paper cites Kasuya, A Theory of Metallic Ferro- and Antiferro- magnetism on Zener’s Model, Prog.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Kasuya, A Theory of Metallic Ferro- and Antiferro- magnetism on Zener’s Model, Prog

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.392438Z

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Observation d24e7097-57d1-4ed9-ac28-c6812f929516 · outbound

This paper cites Yosida, Magnetic properties of Cu-Mn alloys, Phys.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Yosida, Magnetic properties of Cu-Mn alloys, Phys

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.361083Z

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Observation a8fb6aaf-606b-4c91-b77f-d41c9a6e0491 · outbound

This paper cites Weiße, G.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Weiße, G

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.367205Z

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Observation 4190650e-5853-4394-89aa-ef5225cb266b · outbound

This paper cites Barros and Y.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Barros and Y

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.372423Z

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Observation 697ace62-522b-4538-9041-bde4c3e39eb1 · outbound

This paper cites Wang, G.-W.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Wang, G.-W

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.457397Z

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Observation 0c0dad06-c4b7-43d4-8663-6376df23b932 · outbound

This paper cites Goodfellow, Y.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Goodfellow, Y

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.301310Z

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Observation 9c58403b-4e90-4e0c-9340-269123f9273a · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.549138Z

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Observation 14ff6376-a858-469f-ab53-bcf542a8c30f · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.554820Z

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Observation c430c145-c93d-4979-a1aa-08842cf0f184 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 58

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Observation 4d6491be-3239-4e1f-a7e4-473914b43a71 · outbound

This paper cites Onuki, Phase Transition Dynamics(Cambridge Uni- versity Press, 2002).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Onuki, Phase Transition Dynamics(Cambridge Uni- versity Press, 2002)

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T05:53:36.565544Z

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Observation bdc00860-6cb3-4b8e-8b0c-a84446dd84a8 · outbound

This paper cites Puri and V.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Puri and V

Reference 60

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Observation 5489e2ca-b57e-4577-9a37-e48e11682284 · outbound

This paper cites Allen and J.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Allen and J

Reference 61

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Observation 5aeb26d4-2abf-4a7c-81fd-6936729f1deb · outbound

This paper cites Corberi, Coarsening in inhomogeneous systems, Comptes Rendus Physique 16, 332 (2015), coarsening dy- namics / Dynamique de coarsening.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Corberi, Coarsening in inhomogeneous systems, Comptes Rendus Physique 16, 332 (2015), coarsening dy- namics / Dynamique de coarsening

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:37.110699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5bcb0555-faaf-4054-8574-0f6d3c133c6b · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:53:37.056597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6360dc21-c16c-4ab3-b789-b05f63b55ce8 · outbound

This paper cites an unresolved cited work.

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:53:36.962888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 44ab419f-ced9-4cee-8bbd-c360cadfe263 · outbound

This paper cites Tanaka, Viscoelastic phase separation, Journal of Physics: Condensed Matter 12, R207 (2000).

Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets Tanaka, Viscoelastic phase separation, Journal of Physics: Condensed Matter 12, R207 (2000)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:53:36.907027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers