Machine-learning interatomic potential for radiation damage and defects in tungsten | Paper Citation Record

Observation 0f1e8c26-f890-4ea2-aba7-b4b62a7bb6b9 · outbound

This paper cites Rieth, S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Rieth, S

Reference 1

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Observation d7e9e8f0-0db2-4ec3-9d23-29c25d81a877 · outbound

This paper cites Zinkle and L.

Machine-learning interatomic potential for radiation damage and defects in tungsten Zinkle and L

Reference 2

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Observation b7ff5a84-886c-436e-a54c-542cad4dafd0 · outbound

This paper cites Nordlund, S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Nordlund, S

Reference 3

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

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This paper cites Byggm¨ astar, F.

Machine-learning interatomic potential for radiation damage and defects in tungsten Byggm¨ astar, F

Reference 5

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Observation a0b658f9-38ea-47b6-afc2-a5767c1e975d · outbound

This paper cites Nordlund, M.

Machine-learning interatomic potential for radiation damage and defects in tungsten Nordlund, M

Reference 6

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This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 7

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This paper cites Byggm¨ astar, F.

Machine-learning interatomic potential for radiation damage and defects in tungsten Byggm¨ astar, F

Reference 8

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This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 9

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This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 10

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Observation 7d452f07-9b3e-426f-aedd-610284b58b49 · outbound

This paper cites Tersoﬀ, Phys.

Machine-learning interatomic potential for radiation damage and defects in tungsten Tersoﬀ, Phys

Reference 11

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 12

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 13

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Observation 11867297-c71f-403b-a5b6-e8a50399a0e8 · outbound

This paper cites Marinica, L.

Machine-learning interatomic potential for radiation damage and defects in tungsten Marinica, L

Reference 14

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 15

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Observation a8387c30-583e-4136-949c-0f6bf387823b · outbound

This paper cites Chen, Y.-H.

Machine-learning interatomic potential for radiation damage and defects in tungsten Chen, Y.-H

Reference 16

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Observation 575ba87f-2955-4b28-a04a-dfabc37b2b64 · outbound

This paper cites Juslin, P.

Machine-learning interatomic potential for radiation damage and defects in tungsten Juslin, P

Reference 17

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Observation bb5da97c-28af-48c9-ba94-56201701f70d · outbound

This paper cites Ahlgren, K.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ahlgren, K

Reference 18

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Observation 18de77d9-d5d7-4f03-9f32-205bcdae3590 · outbound

This paper cites Fikar, R.

Machine-learning interatomic potential for radiation damage and defects in tungsten Fikar, R

Reference 19

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Observation 42dee9cb-50ec-4ca8-a2cc-f163192dba48 · outbound

This paper cites Fellman, A.

Machine-learning interatomic potential for radiation damage and defects in tungsten Fellman, A

Reference 20

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Observation 45adfd4a-8a49-4706-b6cd-cc322923b77d · outbound

This paper cites Ventelon, F.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ventelon, F

Reference 21

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Observation 5377d950-87cf-4553-9a1e-9855fb42a848 · outbound

This paper cites Heinola, F.

Machine-learning interatomic potential for radiation damage and defects in tungsten Heinola, F

Reference 22

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Observation abffb2b1-53b5-4f49-bd6c-31234b3d2c7d · outbound

This paper cites Bonny, D.

Machine-learning interatomic potential for radiation damage and defects in tungsten Bonny, D

Reference 23

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Observation 0e6252c7-05d6-4f3b-99a4-1034cf8d91eb · outbound

This paper cites Behler and M.

Machine-learning interatomic potential for radiation damage and defects in tungsten Behler and M

Reference 24

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 26

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Observation 58f15fc0-167a-4099-b030-e9521a7be86c · outbound

This paper cites Moment Tensor Potentials: a class of systematically improvable interatomic potentials.

Machine-learning interatomic potential for radiation damage and defects in tungsten Moment Tensor Potentials: a class of systematically improvable interatomic potentials

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:26:33.944277Z

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Observation d7dac9ec-29f9-4265-bbf7-02e926b61267 · outbound

This paper cites Glielmo, C.

Machine-learning interatomic potential for radiation damage and defects in tungsten Glielmo, C

Reference 28

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Observation cdb2e40e-1e75-4907-b51e-c9fbf7e6650e · outbound

This paper cites Zhang, J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Zhang, J

Reference 29

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Observation 49bdeeb5-d652-47f8-946a-9161e8bc7cbf · outbound

This paper cites Behler, J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Behler, J

Reference 30

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This paper cites A Performance and Cost Assessment of Machine Learning Interatomic Potentials.

Machine-learning interatomic potential for radiation damage and defects in tungsten A Performance and Cost Assessment of Machine Learning Interatomic Potentials

Reference 31

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 32

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 33

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 34

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 35

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Observation 694e69f9-82d9-4bf1-b3b1-8c5f75fdfb6e · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 36

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 37

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Observation e1bea6e2-d4ad-4a9e-89b2-aab445363e4a · outbound

This paper cites Nordlund, N.

Machine-learning interatomic potential for radiation damage and defects in tungsten Nordlund, N

Reference 38

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Observation f0135628-e858-4d35-a200-f3ecc2337a70 · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 39

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Observation 07b7a1ff-df6c-4891-96c7-d3ef6917dc5c · outbound

This paper cites Perriot, X.

Machine-learning interatomic potential for radiation damage and defects in tungsten Perriot, X

Reference 40

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Observation efb0e3aa-8b56-4e18-a195-099f4956ae31 · outbound

This paper cites Kresse and J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Kresse and J

Reference 41

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Observation 3d96ca11-db6a-4791-b0f0-2822c1e40811 · outbound

This paper cites Kresse and J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Kresse and J

Reference 42

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This paper cites Kresse and J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Kresse and J

Reference 43

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Observation 56d9dbe7-e4c6-41c0-97e8-0c681ed783a1 · outbound

This paper cites Kresse and J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Kresse and J

Reference 44

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Observation 4f78e2c8-0f4b-48e0-9cdc-a1eb4774a818 · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 45

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Observation af5775d5-287f-400a-8bfa-86946bbf0e31 · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 46

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Observation 1b2aabc8-5cf0-4b0e-bb9a-772217a28c40 · outbound

This paper cites Kresse and D.

Machine-learning interatomic potential for radiation damage and defects in tungsten Kresse and D

Reference 47

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Observation 0bfed0e6-07dc-41fe-924e-43b532debe42 · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 48

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Observation 491460a0-10d6-4dd5-8a85-b6a3a095f31b · outbound

This paper cites Methfessel and A.

Machine-learning interatomic potential for radiation damage and defects in tungsten Methfessel and A

Reference 49

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Observation 20e2f29b-ccb3-4e31-98ae-219262a0dc41 · outbound

This paper cites QUIP - QUantum mechanics and Interatomic Po- tentials,.

Machine-learning interatomic potential for radiation damage and defects in tungsten QUIP - QUantum mechanics and Interatomic Po- tentials,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.577142Z

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Observation 370e404d-5ffb-479c-9eaa-e3c92f6a2881 · outbound

This paper cites Plimpton, Journal of Computational Physics 117, 1 (1995), http://lammps.sandia.gov.

Machine-learning interatomic potential for radiation damage and defects in tungsten Plimpton, Journal of Computational Physics 117, 1 (1995), http://lammps.sandia.gov

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.559646Z

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Observation fc9be6af-6305-4cc9-9684-12b6a24b724d · outbound

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.541526Z

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Observation 819c350c-19be-400a-9aba-2f91bbed37b4 · outbound

This paper cites Togo and I.

Machine-learning interatomic potential for radiation damage and defects in tungsten Togo and I

Reference 53

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Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 54

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Observation 511391f6-e6b0-4cca-af07-df48ba3fd761 · outbound

This paper cites Marinica, F.

Machine-learning interatomic potential for radiation damage and defects in tungsten Marinica, F

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.499762Z

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Observation 49516bf8-3857-4a4c-b9c7-5c4691a6aa44 · outbound

This paper cites D´ ezerald, M.

Machine-learning interatomic potential for radiation damage and defects in tungsten D´ ezerald, M

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.483268Z

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Observation d6644179-a41a-4689-9d9e-d3c16e984c6f · outbound

This paper cites Rumble, ed., CRC Handbook of Chemistry and Physics, 100th Edition , 100th ed.

Machine-learning interatomic potential for radiation damage and defects in tungsten Rumble, ed., CRC Handbook of Chemistry and Physics, 100th Edition , 100th ed

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.466322Z

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Observation 13dcae90-d34c-4ba3-bfa7-6f2ce4889d65 · outbound

This paper cites Dragoni, T.

Machine-learning interatomic potential for radiation damage and defects in tungsten Dragoni, T

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.448701Z

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Observation 38d22154-cf7f-406d-b36f-067936d033a7 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 59

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Observation 8feb570f-7396-4d23-b75e-8f2e4f434832 · outbound

This paper cites Rasch, R.

Machine-learning interatomic potential for radiation damage and defects in tungsten Rasch, R

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.412375Z

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Observation 2c9aa0e1-a473-4d86-b37f-6a8cc78382fa · outbound

This paper cites Heikinheimo, K.

Machine-learning interatomic potential for radiation damage and defects in tungsten Heikinheimo, K

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.393899Z

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Observation be8e3b91-eb64-4df7-bd9b-d0470b3c42cd · outbound

This paper cites Ma and S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ma and S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.374849Z

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Observation 743013d7-57ed-448d-aa64-d952a416c012 · outbound

This paper cites Ma and S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ma and S

Reference 63

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Source-reported events for the cited work

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Observation 77b572ff-9e48-4668-b7e7-3898d798527b · outbound

This paper cites Ma and S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ma and S

Reference 64

Resolution: verified exact; doi, observed 2026-08-14T12:26:33.812965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 08c773ad-b512-453b-8b03-917f3c3d556e · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 65

Resolution: verified exact; doi, observed 2026-08-14T12:26:33.793639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73b82dbc-507c-47f5-8211-79821f5af008 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.355456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eed7f793-80ae-4a36-bc84-3d45d1b5c6e0 · outbound

This paper cites Paidar, L.

Machine-learning interatomic potential for radiation damage and defects in tungsten Paidar, L

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.337646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1da5480c-f1d2-4a33-b803-0f2b997446a3 · outbound

This paper cites Mrovec, R.

Machine-learning interatomic potential for radiation damage and defects in tungsten Mrovec, R

Reference 68

Resolution: verified exact; doi, observed 2026-08-14T12:26:33.771898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36148ead-c694-4882-86f6-d9d7772c17d6 · outbound

This paper cites Ravelo, T.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ravelo, T

Reference 69

Resolution: malformed identifier; no resolver link, observed 2026-08-14T12:26:33.588343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eaddcb8-60fa-4ea7-9ca1-02af89fc8ba7 · outbound

This paper cites Einarsdotter, B.

Machine-learning interatomic potential for radiation damage and defects in tungsten Einarsdotter, B

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.319037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecff4448-8717-40ad-9d28-f0de3fced7dd · outbound

This paper cites Larose and B.

Machine-learning interatomic potential for radiation damage and defects in tungsten Larose and B

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.291589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd3c71f4-b959-4010-94bd-4029fa69991a · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.272761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdcc425d-73b6-45ae-99f4-3353d80bb1a7 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.255187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f6d3881-5d62-4082-80e1-530f76ede964 · outbound

This paper cites Lowrie and A.

Machine-learning interatomic potential for radiation damage and defects in tungsten Lowrie and A

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.235748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76501646-0171-4669-b750-367339de4432 · outbound

This paper cites Grizzi, M.

Machine-learning interatomic potential for radiation damage and defects in tungsten Grizzi, M

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.217247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4945b07-9b20-49c6-96b3-083640d5366d · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.198290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c120b50b-8ae5-4e22-801c-e7f76602b0e1 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.178997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 699fac44-42fb-4c61-8e31-7a2fbe302ea3 · outbound

This paper cites Heinola and T.

Machine-learning interatomic potential for radiation damage and defects in tungsten Heinola and T

Reference 78

Resolution: verified exact; doi, observed 2026-08-14T12:26:33.753005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e25c3b4-da2d-4626-b4fa-947c7bca77cb · outbound

This paper cites Chen and N.

Machine-learning interatomic potential for radiation damage and defects in tungsten Chen and N

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.162432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8df9ac70-3e53-47ea-ab60-683213bc5b2c · outbound

This paper cites Maury, M.

Machine-learning interatomic potential for radiation damage and defects in tungsten Maury, M

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.144393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4a0662c0-8a5a-46f0-a2af-42674c595656 · outbound

This paper cites Nordlund, J.

Machine-learning interatomic potential for radiation damage and defects in tungsten Nordlund, J

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.127450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca0ca714-6548-421c-b794-d2ed8497dde2 · outbound

This paper cites Alexander, M.-C.

Machine-learning interatomic potential for radiation damage and defects in tungsten Alexander, M.-C

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.110626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18fde34c-5eeb-4541-98b0-ce786d87e931 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.093983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7506845e-c97f-48ef-a265-b03b40383b5a · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.075420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b870427-5ca7-45c0-ad46-231dc6c3c50f · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.053837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7664520-d212-4be3-98a0-8b78ee272d74 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:34.034100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6804fe05-931e-4767-92e2-884f95d78925 · outbound

This paper cites Ma and S.

Machine-learning interatomic potential for radiation damage and defects in tungsten Ma and S

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:34.016609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99e3cf57-3438-47b3-985d-aec3d2275595 · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:33.999125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dce517e1-4876-47f8-b4e2-c66b0035662a · outbound

This paper cites Bj¨ orkas and K.

Machine-learning interatomic potential for radiation damage and defects in tungsten Bj¨ orkas and K

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:26:33.981024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eebfe08d-136f-440a-9bba-3d0d0249136c · outbound

This paper cites an unresolved cited work.

Machine-learning interatomic potential for radiation damage and defects in tungsten Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:26:33.963340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Reference resolution

Outbound references

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