Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential | Paper Citation Record

Observation e96a9008-f547-4afa-95f8-883a1fd7e1e1 · outbound

This paper cites ACS Catal.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential ACS Catal

Reference 1

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Observation 1f690e10-21fa-486b-b56e-699d2e4b70da · outbound

This paper cites Catalytic conversion of ethanol and iso-propanol over ZnO -treated Co3O4 / Al2O3 solids.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Catalytic conversion of ethanol and iso-propanol over ZnO -treated Co3O4 / Al2O3 solids

Reference 2

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Observation 0e611f22-a835-4e12-bf64-ab74eab55a67 · outbound

This paper cites C.; others Selective electrooxidation of 2-propanol on Pt nanoparticles supported on Co3O4 : an in-situ study on atomically defined model systems.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential C.; others Selective electrooxidation of 2-propanol on Pt nanoparticles supported on Co3O4 : an in-situ study on atomically defined model systems

Reference 3

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Observation 83c5e1e3-fc3a-4d8e-a003-d13c0546f2ca · outbound

This paper cites H.; Bera, A.; Bullert, D.; Linke, M.; Salamon, S.; Webers, S.; Wende, H.; Hasselbrink, E.; Spohr, E.; Kenmoe, S.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential H.; Bera, A.; Bullert, D.; Linke, M.; Salamon, S.; Webers, S.; Wende, H.; Hasselbrink, E.; Spohr, E.; Kenmoe, S

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:29.864355Z

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Observation 3ccbe066-030c-40bb-9dcf-be772bd28e1b · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 5

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Observation fac34eb3-114a-4e9f-9941-24551e63a311 · outbound

This paper cites H.; Nono, K.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential H.; Nono, K

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.132657Z

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Observation 626089c6-77d2-48bd-8ea9-49555f4f48b2 · outbound

This paper cites Influence of temperature, surface composition and electrochemical environment on 2-propanol decomposition at the Co3O4 (001)/ H2O interface.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Influence of temperature, surface composition and electrochemical environment on 2-propanol decomposition at the Co3O4 (001)/ H2O interface

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.274795Z

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Observation d298b4c3-7dca-4b18-ba7c-b683e09b1226 · outbound

This paper cites H.; Raji, A.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential H.; Raji, A

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.427232Z

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Observation 33793d4c-552a-43c5-8bc6-0ef3003a1a1e · outbound

This paper cites H.; Kenmoe, S.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential H.; Kenmoe, S

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.605772Z

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Observation bc971fc7-855d-426c-a525-293acea4126c · outbound

This paper cites u ker, J.; Weidenthaler, C.; Ortega, K. F.; Behrens, M.; T \.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential u ker, J.; Weidenthaler, C.; Ortega, K. F.; Behrens, M.; T \

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.728455Z

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Observation 31501e40-3cfc-4ef5-a756-643a0219ede2 · outbound

This paper cites I.; Najafpour, M.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential I.; Najafpour, M

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.894529Z

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Observation f7e292d7-4e28-41be-bf79-91ceef1de8fd · outbound

This paper cites Nanostructured cobalt oxide clusters in mesoporous silica as efficient oxygen-evolving catalysts.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Nanostructured cobalt oxide clusters in mesoporous silica as efficient oxygen-evolving catalysts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:30.978915Z

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Observation 43123b4b-4f37-449a-ae46-be371f144899 · outbound

This paper cites Selective synthesis of Co3O4 nanocrystal with different shape and crystal plane effect on catalytic property for methane combustion.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Selective synthesis of Co3O4 nanocrystal with different shape and crystal plane effect on catalytic property for methane combustion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:31.132367Z

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Observation 432afa6c-a59d-4957-af34-1340d32aab83 · outbound

This paper cites Low-temperature oxidation of CO catalysed by Co3O4 nanorods.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Low-temperature oxidation of CO catalysed by Co3O4 nanorods

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:56.559106Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c192ba4d-f9cb-4ed8-baf9-083aed7245ac · outbound

This paper cites Co3O4 nanomaterials in lithium-ion batteries and gas sensors.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Co3O4 nanomaterials in lithium-ion batteries and gas sensors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:56.389608Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62283cc2-4e81-4e3a-89ce-3938bcc4e2e3 · outbound

This paper cites J.; Brummel, O.; Libuda, J.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential J.; Brummel, O.; Libuda, J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:56.176310Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e92a6f4f-2943-4b75-8c98-ea6dabcbf565 · outbound

This paper cites K.; Hartwig, J.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential K.; Hartwig, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:55.965690Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b80acf84-d90b-43d8-ba12-328e62db7c32 · outbound

This paper cites J.; Busca, G.; Lorenzelli, V.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential J.; Busca, G.; Lorenzelli, V

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:55.810327Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 48a65dee-89cf-4ef2-b7b1-8263e61f78d8 · outbound

This paper cites Structural origin: water deactivates metal oxides to CO oxidation and promotes low-temperature CO oxidation with metals.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Structural origin: water deactivates metal oxides to CO oxidation and promotes low-temperature CO oxidation with metals

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:55.607875Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a92057e2-98ab-4bc3-90a3-9653e93ae81a · outbound

This paper cites J.; Sojka, Z.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential J.; Sojka, Z

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:55.452235Z

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Observation 5d7b3f5c-65be-4757-af92-5f9c4b92f109 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:55.271918Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fd8aef3e-8151-4947-a706-e07c55c94843 · outbound

This paper cites C.; Matolin, V.; others Structure-dependent dissociation of water on cobalt oxide.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential C.; Matolin, V.; others Structure-dependent dissociation of water on cobalt oxide

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:55.104281Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c277c57-1f7d-4252-a107-8ab30f7e044b · outbound

This paper cites Impact of Highly Concentrated Alkaline Treatment on Mesostructured Cobalt Oxide for the Oxygen Evolution Reaction.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Impact of Highly Concentrated Alkaline Treatment on Mesostructured Cobalt Oxide for the Oxygen Evolution Reaction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:54.934916Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e8e4452-bb53-44db-abfd-734228ddc6a0 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:54.708143Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 660cba36-5ebb-4dfc-8f3f-a2b47a21372f · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:54.514075Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3daaa5fb-15c2-4fdf-8944-e977d60a7c91 · outbound

This paper cites ChemCatChem 2024, 16, e202400988.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential ChemCatChem 2024, 16, e202400988

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:54.352874Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d868994b-a5e7-46ab-b8c6-cf9edbf80dc7 · outbound

This paper cites ACS Catal.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential ACS Catal

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:54.129356Z

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Observation 913797b7-69f0-40a9-9ff0-c91538de4ea6 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:53.911293Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d756e365-bf88-49fa-9b24-7bdc25f94bc5 · outbound

This paper cites Hydroxylation of an ultrathin Co3O4 (111) film on Ir (100) studied by in situ ambient pressure XPS and DFT.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Hydroxylation of an ultrathin Co3O4 (111) film on Ir (100) studied by in situ ambient pressure XPS and DFT

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:53.704714Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 237dcfad-13ec-4f89-ad68-84ff7a5e0d51 · outbound

This paper cites V.; Ptasinska, S.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential V.; Ptasinska, S

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:53.550790Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9ec62d07-3acc-4a1e-a877-ad786858a095 · outbound

This paper cites B.; Saddeler, S.; Schumacher, S.; Aiyappa, H.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential B.; Saddeler, S.; Schumacher, S.; Aiyappa, H

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:53.343352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21fa5529-d5a9-4c01-821f-45f1487f6058 · outbound

This paper cites Water adsorption and oxidation at the Co3O4 (110) surface.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Water adsorption and oxidation at the Co3O4 (110) surface

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:53.250619Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0425c0a6-98f1-4d52-8e0b-b41cc7163f3b · outbound

This paper cites A.; Kotomin, E.; Akilbekov, A.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential A.; Kotomin, E.; Akilbekov, A

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:53.001846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9bfa9e6-c844-4409-8e68-acac88df348d · outbound

This paper cites Surface structure of Co3O4 (111) under reactive gas-phase environments.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Surface structure of Co3O4 (111) under reactive gas-phase environments

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:52.675156Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de110d4f-c868-46c8-b8be-d9cdde2a8f83 · outbound

This paper cites Water on oxide surfaces: a triaqua surface coordination complex on Co3O4 (111).

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Water on oxide surfaces: a triaqua surface coordination complex on Co3O4 (111)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:52.436607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43a74327-e06b-41d8-b716-b9f3218b611a · outbound

This paper cites A DFT investigation on surface and defect modulation of the Co3O4 catalyst for efficient oxygen evolution reaction.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential A DFT investigation on surface and defect modulation of the Co3O4 catalyst for efficient oxygen evolution reaction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:52.153643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 440304e8-47f0-4804-9345-1965e525b4af · outbound

This paper cites Influence of Fe and Ni doping on the OER performance at the Co3O4 (001) surface: insights from DFT+U calculations.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Influence of Fe and Ni doping on the OER performance at the Co3O4 (001) surface: insights from DFT+U calculations

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:51.892868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2056eb0-2c13-483b-aa8a-ab6aab2ff69a · outbound

This paper cites Impact of solvation on the structure and reactivity of the Co _3 O _4 (001)/H _2 O interface: Insights from molecular dynamics simulations.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Impact of solvation on the structure and reactivity of the Co _3 O _4 (001)/H _2 O interface: Insights from molecular dynamics simulations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:51.634278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 708fe189-d8c1-494f-b390-1dab0701c875 · outbound

This paper cites R.; Pezzotti, S.; Gaigeot, M.-P.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential R.; Pezzotti, S.; Gaigeot, M.-P

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:51.325342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 834e0b9e-cb1e-4b0e-90e4-bee57ec4460c · outbound

This paper cites Co _3 O _4 (111) surfaces in contact with water: molecular dynamics study of the surface chemistry and structure at room temperature.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Co _3 O _4 (111) surfaces in contact with water: molecular dynamics study of the surface chemistry and structure at room temperature

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:51.056706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2308bf28-60af-4117-af81-c715458dda1c · outbound

This paper cites Perspective: Machine Learning Potentials for Atomistic Simulations.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Perspective: Machine Learning Potentials for Atomistic Simulations

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:50.743527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ea9ce1ab-6806-4b13-be98-85b5650e4e18 · outbound

This paper cites L.; Caro, M.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential L.; Caro, M

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:50.563408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3ce1fd3c-1497-4295-bd2a-9a89b9fe0c13 · outbound

This paper cites u tt, K. T.; Tkatchenko, A.; M \.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential u tt, K. T.; Tkatchenko, A.; M \

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:50.384355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d1392ef-286b-4bf2-9091-d514c935728a · outbound

This paper cites Machine-learned potentials for next-generation matter simulations.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Machine-learned potentials for next-generation matter simulations

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:50.115520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aac2cf36-b830-4c0e-81ef-99cc3bea1c14 · outbound

This paper cites W.; Behler, J.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential W.; Behler, J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:49.799271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbec4a3a-3de3-412f-be2d-7767d59f2ab4 · outbound

This paper cites Improving Molecular-Dynamics Simulations for Solid--Liquid Interfaces with Machine-Learning Interatomic Potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Improving Molecular-Dynamics Simulations for Solid--Liquid Interfaces with Machine-Learning Interatomic Potentials

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:49.551992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95346f86-8b7b-4db8-a383-fe87d197f6b3 · outbound

This paper cites L.; Rowe, P.; M \"u ller, E.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential L.; Rowe, P.; M \"u ller, E

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:49.254371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e166df04-8d63-40e2-8aa6-1c15b51c1201 · outbound

This paper cites Perspective: Atomistic simulations of water and aqueous systems with machine learning potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Perspective: Atomistic simulations of water and aqueous systems with machine learning potentials

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:49.012720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30d94761-b7ff-4992-b33f-d46293456a97 · outbound

This paper cites N.; Behler, J.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential N.; Behler, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:48.830769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc8b0d53-3c94-448d-9da2-a36d2dcdd6d9 · outbound

This paper cites o newald, F.; Risch, M.; Volkert, C. A.; Bl \.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential o newald, F.; Risch, M.; Volkert, C. A.; Bl \

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:48.625707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78fc2a62-8099-4ed8-ad0c-af08d07dbf5b · outbound

This paper cites N.; Bl \"o chl, P.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential N.; Bl \"o chl, P

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:48.424627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03a1a76b-9535-4187-99ec-7f1c8d5e9148 · outbound

This paper cites Insights into lithium manganese oxide-water interfaces using machine learning potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Insights into lithium manganese oxide-water interfaces using machine learning potentials

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:48.124114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 744bdf1c-dee2-4ca2-bfd4-372adedfb64d · outbound

This paper cites Nanosecond solvation dynamics of the hematite/liquid water interface at hybrid DFT accuracy using committee neural network potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Nanosecond solvation dynamics of the hematite/liquid water interface at hybrid DFT accuracy using committee neural network potentials

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:47.923812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70666c33-4274-4c1b-b271-122f7548adbc · outbound

This paper cites Structure and dynamics of the magnetite (001)/water interface from molecular dynamics simulations based on a neural network potential.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Structure and dynamics of the magnetite (001)/water interface from molecular dynamics simulations based on a neural network potential

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:47.662422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc54b5b4-2e59-43a8-a597-4773c82a294d · outbound

This paper cites Structure of the water/magnetite interface from sum frequency generation experiments and neural network based molecular dynamics simulations.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Structure of the water/magnetite interface from sum frequency generation experiments and neural network based molecular dynamics simulations

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:48:39.750385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac25b84a-5492-49ac-9307-ead3f9fb4455 · outbound

This paper cites Generalized neural-network representation of high-dimensional potential-energy surfaces.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Generalized neural-network representation of high-dimensional potential-energy surfaces

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:47.454683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9b94f22-42c1-4f93-913e-28d34bbee73f · outbound

This paper cites Four generations of high-dimensional neural network potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Four generations of high-dimensional neural network potentials

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:47.195645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 92dcee41-7763-4cd2-bb01-07d45e96754e · outbound

This paper cites Method for locating low-energy solutions within DFT+U.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Method for locating low-energy solutions within DFT+U

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:46.967070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b1f0226-05af-4b1e-882e-46162da732b3 · outbound

This paper cites P.; Payne, M.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential P.; Payne, M

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:46.770739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5313684e-a35f-4f99-8a52-677f1315b288 · outbound

This paper cites Atom-centered symmetry functions for constructing high-dimensional neural network potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Atom-centered symmetry functions for constructing high-dimensional neural network potentials

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:46.529596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1e3c1ef-591c-44c5-b423-667b217e29c7 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:46.312946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b984f039-0694-467f-9b9a-7b82ac84b619 · outbound

This paper cites B.; Brown, S.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential B.; Brown, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:46.057497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b282a5db-7fd1-49ca-984a-c71b7b504bc3 · outbound

This paper cites First principles neural network potentials for reactive simulations of large molecular and condensed systems.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential First principles neural network potentials for reactive simulations of large molecular and condensed systems

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:45.870051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 177794e3-486b-4fa7-8b51-ed472ceec2c5 · outbound

This paper cites Representing potential energy surfaces by high-dimensional neural network potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Representing potential energy surfaces by high-dimensional neural network potentials

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:45.621935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e9ac53db-5c04-4274-a090-aa8bb7cead71 · outbound

This paper cites Constructing high-dimensional neural network potentials: a tutorial review.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Constructing high-dimensional neural network potentials: a tutorial review

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:45.445162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6551e67f-ebed-4e4f-87ab-dca9117c610b · outbound

This paper cites M.; Behler, J.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential M.; Behler, J

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:45.155751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f2cfcd4-1df9-4711-bf70-f4b0510853e6 · outbound

This paper cites Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:44.919292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba476733-e0bc-457f-95ec-b3dcabd2a041 · outbound

This paper cites Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:44.644917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8ee2a90-3b8a-4217-9e62-e08ac30751e3 · outbound

This paper cites P.; Burke, K.; Ernzerhof, M.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential P.; Burke, K.; Ernzerhof, M

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T13:48:36.828681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8962cc0a-2ff5-43ef-941d-32086790fa91 · outbound

This paper cites R.; Michaelides, A.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential R.; Michaelides, A

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:44.388428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a440210-e864-4edd-8b52-194f430ec44e · outbound

This paper cites R.; Michaelides, A.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential R.; Michaelides, A

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:44.127069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f86ec819-29ee-4000-952f-6a3eb1531c0e · outbound

This paper cites L.; Botton, G.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential L.; Botton, G

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:43.829694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63345eb5-468d-479c-ab21-2053f974fd07 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:43.617552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb42c403-3cfe-49b2-83eb-55d40a13096c · outbound

This paper cites From ultrasoft pseudopotentials to the projector augmented-wave method.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential From ultrasoft pseudopotentials to the projector augmented-wave method

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:43.392229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24b131e4-b74c-4458-b1b2-972ea7fd9390 · outbound

This paper cites Committee neural network potentials control generalization errors and enable active learning.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Committee neural network potentials control generalization errors and enable active learning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:43.168152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6ad3ba59-7a65-4cbe-96e7-53a1224ca28b · outbound

This paper cites A high-dimensional neural network potential for Co _3 O _4.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential A high-dimensional neural network potential for Co _3 O _4

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:42.988365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f79e9e9e-38e5-44b9-8d86-8151b1c3bc09 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:42.750943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f56a298-ba7f-4134-bbfb-97bda2659e14 · outbound

This paper cites High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:42.558126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2496f945-fc8a-4630-95ea-c278800a07ef · outbound

This paper cites From molecular fragments to the bulk: development of a neural network potential for MOF-5.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential From molecular fragments to the bulk: development of a neural network potential for MOF-5

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:42.335139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9329c01c-a65e-4665-9f74-188d8864280a · outbound

This paper cites Fast parallel algorithms for short-range molecular dynamics.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Fast parallel algorithms for short-range molecular dynamics

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:42.150601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4fc2239-48f4-4a4a-a406-4e562fae0b9e · outbound

This paper cites Parallel multistream training of high-dimensional neural network potentials.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Parallel multistream training of high-dimensional neural network potentials

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:41.964742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41872ddc-c302-44eb-a0c7-2a66f3d06f72 · outbound

This paper cites C.; Andersen, H.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential C.; Andersen, H

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:41.805363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7be5f6df-3ee8-4a98-85f2-75789a426511 · outbound

This paper cites A molecular dynamics method for simulations in the canonical ensemble.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential A molecular dynamics method for simulations in the canonical ensemble

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:41.679637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 003ae59e-c409-4ad1-8255-8ac006ee9d63 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:41.541748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f813f7b4-a745-4f3b-a38c-9974dd11e8c3 · outbound

This paper cites Proton-transfer mechanisms at the water--ZnO interface: The role of presolvation.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Proton-transfer mechanisms at the water--ZnO interface: The role of presolvation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:41.359110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0614142c-82f5-46f9-b5f7-eea63eb35066 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:41.157413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f88fa5be-181c-403c-b464-2aaa0d9a6d97 · outbound

This paper cites H.; Hodgson, A.; Liu, L.-M.; Limmer, D.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential H.; Hodgson, A.; Liu, L.-M.; Limmer, D

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:41.008584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eeb21854-ede9-4ad6-9a9d-b43275d125d5 · outbound

This paper cites an unresolved cited work.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:48:40.791868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 988f5045-5f48-43cb-a56d-c003c73b9e7a · outbound

This paper cites Heterogeneous catalysis in water.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Heterogeneous catalysis in water

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:40.590267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81f83ed0-fdb9-49da-8040-fb41f1e19dd5 · outbound

This paper cites Theory of coupled electron and proton transfer reactions.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Theory of coupled electron and proton transfer reactions

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:40.408203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6703af8e-65d6-43c8-9cdd-755d9e6137bb · outbound

This paper cites J.; Campen, R.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential J.; Campen, R

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:40.143772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe21a415-082e-4d9d-8c37-2ac12f5206af · outbound

This paper cites Solvation-induced changes in the mechanism of alcohol oxidation at gold/titania nanocatalysts in the aqueous phase versus gas phase.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential Solvation-induced changes in the mechanism of alcohol oxidation at gold/titania nanocatalysts in the aqueous phase versus gas phase

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:48:39.942420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0033e87-f44f-44bb-a064-63b15be70c43 · outbound

This paper cites ur Theoretische Chemie II, Ruhr-Universit\.

Insights into the Structure and Dynamics of Water at Co$_3$O$_4$(001) Using a High-Dimensional Neural Network Potential ur Theoretische Chemie II, Ruhr-Universit\

Reference 93

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:48:39.579700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers