Machine Learning Force-Field Approach for Itinerant Electron Magnets | Paper Citation Record

Observation 17ac13e2-5b3f-452b-878c-fdcee764963b · outbound

This paper cites vortices.

Machine Learning Force-Field Approach for Itinerant Electron Magnets vortices

Reference 1

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Observation 265f3ef7-f56a-4fe9-a25c-0da2c076ca68 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 2

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Observation f0a9fd02-aa34-4c68-8ecf-5621fb2bddd8 · outbound

This paper cites M¨ uhlbauer, B.

Machine Learning Force-Field Approach for Itinerant Electron Magnets M¨ uhlbauer, B

Reference 3

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Observation 5585b61e-088d-4c2d-94a4-543b0103c64f · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

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Observation 702ce73d-b60e-48bc-ab56-7010f2c7acaf · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

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Observation 617d3397-5b8f-4a2c-8407-b43f99844696 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 6

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Observation 91005202-551d-48cc-bd19-996cdfc1b66e · outbound

This paper cites Nagaosa and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Nagaosa and Y

Reference 7

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Observation d9e8b0eb-49a3-4c30-bb9b-f9d305c904ba · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 8

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Observation 84b1bbd9-ddbf-4a92-bd1a-d32eb96b3a62 · outbound

This paper cites Hayami and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hayami and Y

Reference 9

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Observation c690660c-80c6-43a2-ae4c-44a93d94b970 · outbound

This paper cites Chern, Novel magnetic orders and ice phases in frustrated kondo-lattice models, SPIN 05, 1540006 (2015).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chern, Novel magnetic orders and ice phases in frustrated kondo-lattice models, SPIN 05, 1540006 (2015)

Reference 10

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Observation 48be273d-fabb-4215-90d3-9ba51b365999 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 11

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Observation 61ad20d2-a003-4f5c-9c2b-9eed060e0d96 · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Kasuya, A Theory of Metallic Ferro- and Antiferro- magnetism on Zener’s Model, Prog

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.589928Z

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Observation dc17e950-8229-4f6d-b4dd-8aa3e6a310ed · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Yosida, Magnetic properties of Cu-Mn alloys, Phys

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.594400Z

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Observation 7fd981ca-e9d9-42e7-bc6f-3d6b45b1ffc7 · outbound

This paper cites Martin and C.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Martin and C

Reference 14

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Observation b3d5080c-8532-4f31-b1e8-a6ba37a73b92 · outbound

This paper cites Chern, Noncoplanar Magnetic Ordering Driven by Itinerant Electrons on the Pyrochlore Lattice, Phys.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chern, Noncoplanar Magnetic Ordering Driven by Itinerant Electrons on the Pyrochlore Lattice, Phys

Reference 15

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Observation f5c7ee8c-b34d-4e4e-8811-61da08001eb6 · outbound

This paper cites Hayami and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hayami and Y

Reference 16

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Observation 5bbbc994-249b-4ae7-885b-e3f696e1dd26 · outbound

This paper cites Hayami and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hayami and Y

Reference 17

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Observation 27c63e9c-8b00-40e4-8f82-dbc6093a7433 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:21.136778Z

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Observation e923cdd4-3cf4-4d74-a1d5-1e0ee7430324 · outbound

This paper cites Hayami and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hayami and Y

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:21.125237Z

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Observation 27a8a841-c9a9-4232-a418-53ec583b1dff · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 20

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Observation bc487fc3-fa6e-4a91-80ac-c21531088e69 · outbound

This paper cites Gilbert, A phenomenological theory of damping in fer- romagnetic materials, IEEE Transactions on Magnetics 40, 3443 (2004).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Gilbert, A phenomenological theory of damping in fer- romagnetic materials, IEEE Transactions on Magnetics 40, 3443 (2004)

Reference 21

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Observation fc9f9bc5-b305-478a-b542-798cb9081c39 · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Kohn, Density functional and density matrix method scaling linearly with the number of atoms, Phys

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:21.085727Z

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Observation c78e8fc5-7aa9-4a40-adc7-242adcced226 · outbound

This paper cites Prodan and W.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Prodan and W

Reference 23

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Observation 4626280b-9692-4ffd-bc4c-07ab264b6c41 · outbound

This paper cites Behler and M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Behler and M

Reference 24

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Observation 69246553-f0b4-4d41-b6c3-07e69ba96c31 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:21.060778Z

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Observation 6d2a58fe-7b3c-4676-87e5-967b01985ed3 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:21.045669Z

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Observation d7752999-a6a4-4c39-932a-b428d050fe3d · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 27

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Observation b9cec25d-0120-44e2-85b3-1110fea85982 · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Behler, Perspective: Machine learning potentials for atomistic simulations, The Journal of Chemical Physics 145, 170901 (2016)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.657694Z

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Observation 06c8150a-8ce2-4a9d-9039-fb7496ebf504 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.998025Z

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Observation 74ae88cc-623d-4623-b326-a862a134630a · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.965645Z

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Observation 96c8234a-2577-48c5-9651-799f80f2c2d2 · outbound

This paper cites Zhang, J.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Zhang, J

Reference 31

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Observation c2020a4b-0db9-47d8-8f7b-fbedbdf90c9b · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 32

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Observation 5db4ba6a-5f78-4697-bf4e-4ea5cb215e6d · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.904850Z

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Observation bd785625-9d79-4adc-8079-2b594c2f9260 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 34

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Observation 7b100483-c56d-4ea7-97af-f69af5f0e246 · outbound

This paper cites Chmiela, A.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chmiela, A

Reference 35

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Observation a5e6888b-c50a-4bb5-8ce7-201e7dba6f6b · outbound

This paper cites Chmiela, H.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chmiela, H

Reference 36

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Observation b38e7837-3a56-451d-ae4b-f3fbdb0ea982 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.840063Z

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Observation 12206bef-83ee-4981-accc-8bf691464dea · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 38

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Observation 34d51ef9-b8bd-412b-aa70-e333f740005b · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Machine learning dynamics of phase separation in correlated electron magnets

Reference 39

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Observation ff69cbaf-8d57-4eae-ae53-6cce8dad7862 · outbound

This paper cites Zhang and G.-W.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Zhang and G.-W

Reference 40

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Observation fdb5e760-def4-4005-a1e3-cccc7fc7df58 · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.716497Z

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Observation 879eca23-6819-4013-add6-ad619001c853 · outbound

This paper cites Zhang, P.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Zhang, P

Reference 42

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Observation aa5f0cf1-e87a-4924-9cf5-794b0a0c89e8 · outbound

This paper cites Zhang and G.-W.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Zhang and G.-W

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.782045Z

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Observation 558e9f7d-6470-4339-8078-0bc27ffd4df8 · outbound

This paper cites Cheng, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Cheng, S

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.766510Z

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Observation fbab57d3-3fa5-4d6a-abdd-b47c87cdbfc5 · outbound

This paper cites Cheng, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Cheng, S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.752313Z

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Observation 59b2244e-ed4a-44ce-8210-0c54a1f0448d · outbound

This paper cites Ghosh, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Ghosh, S

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.738524Z

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Observation 5daff815-73ec-4a77-a580-39fe583f0f0d · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 47

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Observation 073eeb0f-69b4-4da1-be4e-4e90414e5428 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.707344Z

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Observation 4abd987c-ed0d-4903-8ff2-c9ba0d10d0f0 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.696907Z

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Observation 5528f6d0-88a4-4750-97b4-76c9a3d0502a · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.683039Z

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Observation 34ed6f53-1cf3-43e7-8786-d9d58973dc96 · outbound

This paper cites Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of Chemical Physics 134, 074106 (2011).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Behler, Atom-centered symmetry functions for con- structing high-dimensional neural network potentials, The Journal of Chemical Physics 134, 074106 (2011)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.670425Z

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Observation e17f7f30-b7a4-444a-bfc2-cfcea1dd9061 · outbound

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Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.651155Z

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Observation 3301987f-9c80-4112-bc9d-93824361b034 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 53

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Observation ab768101-36e0-4e9e-950e-7c4278824bb1 · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Drautz, Atomic cluster expansion for accurate and transferable interatomic potentials, Phys

Reference 54

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Observation bc7607cc-e65c-4916-9a07-770910f6f5b5 · outbound

This paper cites Himanen, M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Himanen, M

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.614572Z

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Observation 3037e2e2-b4a7-47f4-8d17-0bdd6dbbcbe8 · outbound

This paper cites Huo and M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Huo and M

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.602504Z

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Observation d0037747-3ea3-49fa-ac98-dd5a3c9acb65 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.587147Z

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Observation 2c062936-040a-4a9b-a2b4-c5ebc32097e1 · outbound

This paper cites Marx and J.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Marx and J

Reference 58

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Observation 4b5540e2-e67f-476e-a76c-db93770ee5d9 · outbound

This paper cites Momoi, K.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Momoi, K

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.551816Z

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Observation 63090cf8-d67e-4bcd-a888-01d3790ba06f · outbound

This paper cites Akagi, M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Akagi, M

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.537310Z

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Observation 5da2ac55-9a19-40f5-acda-4d16738d33f9 · outbound

This paper cites Weiße, G.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Weiße, G

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.799256Z

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Observation 2c0f922b-c237-4b6b-881f-38117e12c93b · outbound

This paper cites Barros and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Barros and Y

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.510038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ac53f32-a59f-4f4a-8433-358b9a2f0f25 · outbound

This paper cites Wang, G.-W.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Wang, G.-W

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.489995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1a1c58a-6bb1-40ca-9d50-b442cb1e438b · 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 Approach for Itinerant Electron Magnets Cybenko, Approximation by superpositions of a sig- moidal function, Mathematics of Control, Signals and Systems 2, 303 (1989)

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.811690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eda53fc-571c-42ad-aecd-42cb692a76fd · outbound

This paper cites Hornik, M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hornik, M

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.816736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7abf399-03e1-48d9-a549-2213122049e4 · outbound

This paper cites Paszke, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Paszke, S

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.459882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1c4b42f-fb7f-41da-9a88-8ad074ed4a31 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.828813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2418e07a-1eeb-47c7-b80e-1ffe5a517ca5 · outbound

This paper cites Machine learning force-field models for metallic spin glass.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Machine learning force-field models for metallic spin glass

Reference 68

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:11:20.045695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72b37b57-c683-4e14-bada-b735878ad96b · outbound

This paper cites A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum.

Machine Learning Force-Field Approach for Itinerant Electron Magnets A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.837202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c52aba9-234c-4535-b04b-fd6f663b3672 · outbound

This paper cites Hamermesh, Group Theory and Its Application to Physical Problems (Dover, New York, 1962).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Hamermesh, Group Theory and Its Application to Physical Problems (Dover, New York, 1962)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.428430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e760f79-63a2-4f87-8a1d-71ad6af587a7 · outbound

This paper cites Akagi and Y.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Akagi and Y

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.846740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb17385c-f915-49ff-83e5-6ecda63a2af1 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.852817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6727b3b4-6df4-4021-8c1b-6c9cc604b6de · outbound

This paper cites Azhar and M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Azhar and M

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.864749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679e6f13-905d-4576-8ff3-03fa04dc9685 · outbound

This paper cites Chern and C.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chern and C

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.383272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation db8456b1-5942-43ae-ad40-e58cff315db4 · outbound

This paper cites Nandkishore, G.-W.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Nandkishore, G.-W

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.369587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 54b78874-4149-4958-a5d3-f1f3fdc0c6bc · outbound

This paper cites Paszke, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Paszke, S

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.877533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38eb699d-5d3f-4705-8376-7dc47cb1dad8 · outbound

This paper cites Nair and G.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Nair and G

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.340503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38d45901-9801-4c12-b680-3efca53f0b4e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Adam: A Method for Stochastic Optimization

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.887638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89c9e32-cc29-46cb-a752-d28e00f8946f · outbound

This paper cites Stone, Cross-validatory choice and assessment of sta- tistical predictions, Journal of the royal statistical soci- ety: Series B (Methodological) 36, 111 (1974).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Stone, Cross-validatory choice and assessment of sta- tistical predictions, Journal of the royal statistical soci- ety: Series B (Methodological) 36, 111 (1974)

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.322666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae5b469d-8fc1-48f0-86a5-3a4ac0543b5e · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.301846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc60d51b-c1ac-4b41-95b6-370cb3354e9b · outbound

This paper cites Chern, K.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Chern, K

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.289504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 587aa900-ab3e-410e-b1f3-18e915c3e570 · outbound

This paper cites Fazekas, Lecture Notes on Electron Correlation and Magnetism (WORLD SCIENTIFIC, 1999).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Fazekas, Lecture Notes on Electron Correlation and Magnetism (WORLD SCIENTIFIC, 1999)

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.276678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e1202256-e651-4619-b55e-3d6f15ffa650 · outbound

This paper cites Lacroix, P.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Lacroix, P

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.263660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1750a573-d398-4ecf-9ba8-348fb62b6a7d · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.912129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54569abe-045f-4db3-8bf3-32bb7b7afa36 · outbound

This paper cites Puri and V.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Puri and V

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.236756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0f15ad4b-46a9-4258-920f-de61d78dc11b · outbound

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

Machine Learning Force-Field Approach for Itinerant Electron Magnets Onuki, Phase Transition Dynamics (Cambridge Uni- versity Press, 2002)

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.220769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01848a21-6fad-44ca-b727-e3f0aba223f9 · outbound

This paper cites Ozawa, S.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Ozawa, S

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.205901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 909fa08a-11cc-4e29-a5c9-b05fec63699d · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.188106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07dedf09-c0e1-4fef-8830-c2351723278c · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.935665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a6a0c48-03b2-4954-9804-709f298828d1 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.166766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7917858-0cb9-4de5-bcc1-2070a401f2c3 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.944038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 035e97f4-b0d4-4ceb-9c1f-619b2402bdaa · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.948414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6f082c-1f48-4721-b8da-b847bc0f245f · outbound

This paper cites Ezawa, Compact merons and skyrmions in thin chiral magnetic films, Phys.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Ezawa, Compact merons and skyrmions in thin chiral magnetic films, Phys

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.138736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6640e573-5974-4e4f-8e8b-55c08b11737b · outbound

This paper cites Miyazaki, Equivariant neural networks for spin dy- namics simulations of itinerant magnets, Machine Learn- ing: Science and Technology 4, 045006 (2023).

Machine Learning Force-Field Approach for Itinerant Electron Magnets Miyazaki, Equivariant neural networks for spin dy- namics simulations of itinerant magnets, Machine Learn- ing: Science and Technology 4, 045006 (2023)

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.121883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30f09025-19ca-4752-a3fb-855eaa0ea142 · outbound

This paper cites Weiler, M.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Weiler, M

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:11:20.109527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58bcaaaa-3dbf-40ab-ba34-b6baadfe9068 · outbound

This paper cites Batzner, A.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Batzner, A

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.966711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e1cb4a7-2e71-43e2-9a9c-c2aa8d4cdcd4 · outbound

This paper cites an unresolved cited work.

Machine Learning Force-Field Approach for Itinerant Electron Magnets Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:11:20.090039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0ee44c7d-eae9-4aa1-bb3d-4f3dec58a60a · outbound

This paper cites skyrmion crystallites lead to formation of stripe struc- tures, with isolated skyrmions and bimerons, that inter- polate between areas of skyrmion lattice.

Machine Learning Force-Field Approach for Itinerant Electron Magnets skyrmion crystallites lead to formation of stripe struc- tures, with isolated skyrmions and bimerons, that inter- polate between areas of skyrmion lattice

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:19.470556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers