Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ | Paper Citation Record

Observation dee04636-5bc0-4137-8328-c66fb03aed5c · outbound

This paper cites Amirkhiz, B.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Amirkhiz, B

Reference 1

Resolution: verified exact; doi, observed 2026-08-01T15:53:28.508806Z

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Observation 420c1ccc-2ca4-41d5-849c-44ec269f89ce · outbound

This paper cites Zhang, Y.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Zhang, Y

Reference 2

Resolution: verified exact; doi, observed 2026-08-01T15:53:28.386668Z

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Observation 0680aa13-ee36-49a1-b6a1-74c9a0fb7a8c · outbound

This paper cites Song, S.N.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Song, S.N

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T15:53:28.263258Z

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Observation db45eb1c-ffe0-42fd-9c16-52f9e10dcf3e · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:03.107992Z

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Observation 8119cb5b-e0d1-4f67-bfe5-1fe13951d4a5 · outbound

This paper cites Hongo, K.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Hongo, K

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T15:53:28.140411Z

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Observation f65d7dc0-41e9-46ef-8e26-dd377950b08b · outbound

This paper cites Yartys, M.V.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Yartys, M.V

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:03.314510Z

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Observation 70eebe97-6c6b-41a5-a75e-d24a5db6775f · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T15:53:28.056902Z

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Observation 08669c8f-76e7-4a09-b5d3-4de390c72a73 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.970353Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e0662f7-563d-465c-9f41-ea4ec7e84ae7 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 9

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.873865Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7048a653-9a09-4e6b-bd31-a6e32fcfa26b · outbound

This paper cites Smirnova, S.V.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Smirnova, S.V

Reference 10

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.758809Z

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Observation 58be1aeb-4f83-4af4-8c2d-8dd510c517b1 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 11

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.701186Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 42b97a92-590b-4711-96c8-70bfd4f89105 · outbound

This paper cites Jacobs, D.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Jacobs, D

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:03.750257Z

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Observation 7343c9e5-8957-4794-a5a4-2c0c5dd4c214 · outbound

This paper cites Takamoto, C.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Takamoto, C

Reference 13

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.601637Z

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Observation 03cd66c5-9112-4ed1-9c04-c1cb6572107b · outbound

This paper cites Takamoto, D.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Takamoto, D

Reference 14

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.517902Z

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Observation e147fa9a-0a8e-49d2-905b-2edee512c235 · outbound

This paper cites Ishikawa, Y.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Ishikawa, Y

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.444620Z

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Observation 97638383-20bc-4805-ab9c-6441573430ff · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.384908Z

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Observation a937e074-0fdc-4489-9e3b-64fd5748d32b · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.249315Z

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Observation 3b5f6584-125d-4eba-9148-ba05241f77d2 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.309541Z

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Observation 5ff49d31-b5d4-437c-a317-749a774ae7ea · outbound

This paper cites Leiner, D.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Leiner, D

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.397738Z

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Observation 95c99229-1683-4077-9e2f-ea702003e4c2 · outbound

This paper cites Park, C.I.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Park, C.I

Reference 20

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.232417Z

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Observation b2e2bfa8-509a-4fdc-8c55-0a6617e18ccc · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.524091Z

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Observation 2ae03e3b-afa5-48fc-bc42-bbf0717f8c65 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 22

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.198657Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aeab015f-4cff-4e0c-a4f6-75488d7fa4a0 · outbound

This paper cites Bortz, B.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Bortz, B

Reference 23

Resolution: verified exact; doi, observed 2026-08-01T15:53:27.103309Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 318d4ac3-b773-46bf-96ea-d0a094319497 · outbound

This paper cites Kresse, J.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Kresse, J

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.751741Z

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Observation 1c63022b-7156-4290-aea6-7a9295351f8d · outbound

This paper cites Kresse, J.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Kresse, J

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.833103Z

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Observation 86ea3c7a-4638-4cbc-b731-74179559c8ce · outbound

This paper cites Blöchl, Projector augmented-wave method, Phys.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Blöchl, Projector augmented-wave method, Phys

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.915014Z

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Observation 5e7f8be3-2e04-4ff6-bb23-743e9a60cbb5 · outbound

This paper cites Kresse, D.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Kresse, D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:04.991508Z

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Observation ced82d68-6be6-49e9-ba54-c15e2b40c0ef · outbound

This paper cites Perdew, K.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Perdew, K

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.074332Z

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Observation ca1cc116-4b4f-4fdf-b9ff-7bcecd48e7a5 · outbound

This paper cites Bogdanović, K.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Bogdanović, K

Reference 29

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.995129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df78a28c-a8d3-42ae-89e1-02065093661d · outbound

This paper cites Nosé, A unified for mulation of the constant temperature molecular dynamics methods, J.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Nosé, A unified for mulation of the constant temperature molecular dynamics methods, J

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.202125Z

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Observation 81901326-1be7-4d25-afa5-fc0babcb9c59 · outbound

This paper cites Hjorth Larsen, J.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Hjorth Larsen, J

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.275630Z

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Observation 43886332-ff39-46dc-bdea-07a187e85999 · outbound

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Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.341805Z

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Observation 6d118d95-0686-4f17-96f7-507ab666adb2 · outbound

This paper cites Lundberg, G.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Lundberg, G

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.429933Z

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Observation 79ac06b5-6df5-429c-885c-5508ae2b70d1 · outbound

This paper cites Pedregosa, G.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Pedregosa, G

Reference 34

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.928754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 752af6a9-bff0-4d52-b32a-6b13597dfeb0 · outbound

This paper cites Monkhorst, J.D.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Monkhorst, J.D

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.603648Z

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Observation 99892e88-4b0e-4b73-86c3-7172a452195a · outbound

This paper cites Kissinger, Reaction kinetics in differential thermal analysis, Anal.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Kissinger, Reaction kinetics in differential thermal analysis, Anal

Reference 36

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.856830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9de264c4-850b-4f0c-8505-4409106f9858 · outbound

This paper cites Morrison, E.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Morrison, E

Reference 37

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.784837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a577d931-00b1-4f18-8680-e92f6d8499e4 · outbound

This paper cites Hanada, T.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Hanada, T

Reference 38

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.704794Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3785ac15-4f57-45a0-9b0a-80c1ed45024d · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 39

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.652737Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fb38ed2-56e3-4d91-b8c5-35dfc51051b7 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 40

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.598407Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8acf48d6-248f-4f52-9fe9-67497a11228a · outbound

This paper cites Tsuda, W .A.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Tsuda, W .A

Reference 41

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.531399Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40831bc8-eb5e-4bbd-95a0-e342bac20f25 · outbound

This paper cites Lakhal, M.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Lakhal, M

Reference 42

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.473755Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95add400-52c4-4eba-829f-90590410f59b · outbound

This paper cites Cermak, B.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Cermak, B

Reference 43

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.404746Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6d7fdce-9ea7-4978-9713-ce1e895d6d40 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 44

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.284675Z

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Observation 88f8a688-841c-423f-ad77-8827b56e03e6 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 45

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.207151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f18c47a2-ebb2-4970-8d58-ff1ef4bf3c1a · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 46

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.105991Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1832b5fe-585f-4d63-afb3-fbf062188474 · outbound

This paper cites Kudiiarov, A.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Kudiiarov, A

Reference 47

Resolution: verified exact; doi, observed 2026-08-01T15:53:26.064657Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f691dd4b-8f16-469b-a039-fe7f6a3f2312 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 48

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.980955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02c9ad29-f2d4-4f82-bc34-ccba26795773 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 49

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.905431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f7e63f2-ed46-48fb-b9a5-2dbfb89011f1 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.828321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28d0b129-c162-4807-8770-79e70e16f3ff · outbound

This paper cites Zhang, W.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Zhang, W

Reference 51

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.723522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5bd33c35-dcb1-4b8f-96c3-f3ea689db8fe · outbound

This paper cites Sabatier, La catalyse en chimie organique, C.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Sabatier, La catalyse en chimie organique, C

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T15:50:05.678721Z

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Observation e3b8af4f-fc24-4bf1-b67f-b92ca2f15324 · outbound

This paper cites Che, Nobel Prize in chemistry 1912 to Sabatier: Organic chemistry or catalysis?, Catal.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Che, Nobel Prize in chemistry 1912 to Sabatier: Organic chemistry or catalysis?, Catal

Reference 53

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.635898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3fda18a-b4dc-468a-9990-11cbabc758f1 · outbound

This paper cites Pototschnig, M.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Pototschnig, M

Reference 54

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.558705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33ab9aec-6dfa-46bc-820e-a9d07ccc5ce7 · outbound

This paper cites an unresolved cited work.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 55

Resolution: verified exact; doi, observed 2026-08-01T15:53:25.470756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bc85cd0-4e53-426c-9bf9-9055371e8dde · outbound

This paper cites Brostow, Radial distribution function peaks and coordination numbers in liquids and in amorphous solids, Chem.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Brostow, Radial distribution function peaks and coordination numbers in liquids and in amorphous solids, Chem

Reference 56

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This paper cites García, J.P.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ García, J.P

Reference 57

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This paper cites Myers, L.

Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Myers, L

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Machine Learning Potential-Driven Molecular Dynamics Simulations of Dehydrogenation in Pristine and Doped MgH$_2$ Unresolved cited work

Reference 59

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