Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ | Paper Citation Record

Observation fb19a8f7-0032-41b1-b253-56c0438e479b · outbound

This paper cites Recent Progress on Multiscale Modeling of Electrochemistry.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Recent Progress on Multiscale Modeling of Electrochemistry

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.896150Z

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Observation dfb02ce0-6e02-480f-a50c-e48076636feb · outbound

This paper cites Applying Classical , Ab Initio , and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Applying Classical , Ab Initio , and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries

Reference 2

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Observation f36c7ab5-1be3-4112-aa78-9851b3bb06d5 · outbound

This paper cites First- Principles Molecular Dynamics at a Constant Electrode Potential.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ First- Principles Molecular Dynamics at a Constant Electrode Potential

Reference 3

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Observation 65a761c1-958c-4aad-befe-cae5d89ad9b5 · outbound

This paper cites Redox Levels through Constant Fermi-Level Ab Initio Molecular Dynamics.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Redox Levels through Constant Fermi-Level Ab Initio Molecular Dynamics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.858407Z

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Observation 5e9ed411-f336-41a9-971b-06f79d0b2d31 · outbound

This paper cites Origin of Selective Production of Hydrogen Peroxide by Electrochemical Oxygen Reduction.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Origin of Selective Production of Hydrogen Peroxide by Electrochemical Oxygen Reduction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.830544Z

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Observation 99dfb261-7b4d-4108-98f7-10bfba2a8001 · outbound

This paper cites Grand Canonical Ensemble Modeling of Electrochemical Interfaces Made Simple.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Grand Canonical Ensemble Modeling of Electrochemical Interfaces Made Simple

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.805763Z

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Observation 232c11b9-70d2-49f8-8496-64b812a1420a · outbound

This paper cites Machine Learning Provides Realistic Model of Complex Phase Transition.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Machine Learning Provides Realistic Model of Complex Phase Transition

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.713295Z

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Observation 8bdc72b7-0084-4db7-be6a-248f8828faeb · outbound

This paper cites P.; Payne, M.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ P.; Payne, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.630630Z

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Observation 4110d073-8ae6-4c36-b37d-c9fad1d9539f · outbound

This paper cites Constructing High-Dimensional Neural Network Potentials: A Tutorial Review.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Constructing High-Dimensional Neural Network Potentials: A Tutorial Review

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.511204Z

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Observation e153f5b5-c5f4-45f8-9399-1a120b2a14f7 · outbound

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

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ u tt, K. T.; Tkatchenko, A.; M \

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.503127Z

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Observation 729209e1-100d-4193-8182-9f8ad6bc6a6e · outbound

This paper cites an unresolved cited work.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:03:40.495753Z

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

Observation 37e8d27b-cb90-432a-b54d-18f08266ec08 · outbound

This paper cites Origin of the Overpotentials for HCOO - and CO Formation in the Electroreduction of CO 2 on Cu (211): The Reductive Desorption Processes Decide.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Origin of the Overpotentials for HCOO - and CO Formation in the Electroreduction of CO 2 on Cu (211): The Reductive Desorption Processes Decide

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.488272Z

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Observation fc6a1ec8-9470-4f33-969a-f1ac31450dee · outbound

This paper cites Enhancing the Understanding of Hydrogen Evolution and Oxidation Reactions on Pt (111) through Ab Initio Simulation of Electrode / Electrolyte Kinetics.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Enhancing the Understanding of Hydrogen Evolution and Oxidation Reactions on Pt (111) through Ab Initio Simulation of Electrode / Electrolyte Kinetics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.481961Z

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Observation b7c0ad1c-49aa-448f-a0f0-34a56a1f00f0 · outbound

This paper cites Surface Charge and Electrostatic Spin Crossover Effects in CoN 3 Electrocatalysts.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Surface Charge and Electrostatic Spin Crossover Effects in CoN 3 Electrocatalysts

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.474992Z

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

Observation 04955b49-cf80-439c-813c-e5c188c8d973 · outbound

This paper cites M.; Marques dos Santos Vieira , F.; Keilbart, N.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ M.; Marques dos Santos Vieira , F.; Keilbart, N

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.377541Z

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Observation 0195b483-8248-4e7f-8e88-0828ed1033aa · outbound

This paper cites Advancement of the Homogeneous Background Method for the Computational Simulation of Electrochemical Interfaces.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Advancement of the Homogeneous Background Method for the Computational Simulation of Electrochemical Interfaces

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.334967Z

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Observation 09b3486e-a0ec-41e2-8f7f-1289268e48a4 · outbound

This paper cites Constructing High-Loading Single-Atom / Cluster Catalysts via an Electrochemical Potential Window Strategy.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Constructing High-Loading Single-Atom / Cluster Catalysts via an Electrochemical Potential Window Strategy

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.247263Z

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

Observation 413d731d-4480-4991-a731-08560bb7cae3 · outbound

This paper cites E.; Dabo, I.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ E.; Dabo, I

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.239383Z

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

Observation 1063acc1-4054-444d-9f60-7ced9c400d3a · outbound

This paper cites F.; Jiang, Z.; Cui, Y.; Liu, J.; Li, J.; Zhang, T.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ F.; Jiang, Z.; Cui, Y.; Liu, J.; Li, J.; Zhang, T

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.232008Z

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

Observation c3014ab9-1e38-4fa2-a973-639b86437b71 · outbound

This paper cites Heterogeneous Single-Atom Catalysis.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Heterogeneous Single-Atom Catalysis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.223624Z

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

Observation b423c145-343b-43ce-b587-fe2312943a2a · outbound

This paper cites Confined Pyrolysis within Metal -- Organic Frameworks To Form Uniform Ru 3 Clusters for Efficient Oxidation of Alcohols.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Confined Pyrolysis within Metal -- Organic Frameworks To Form Uniform Ru 3 Clusters for Efficient Oxidation of Alcohols

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:40.134764Z

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

Observation 670628c3-fc6b-4811-9c2d-a426e09632f7 · outbound

This paper cites Fully Exposed Platinum Clusters on a Nanodiamond / Graphene Hybrid for Efficient Low-Temperature CO Oxidation.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Fully Exposed Platinum Clusters on a Nanodiamond / Graphene Hybrid for Efficient Low-Temperature CO Oxidation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.996546Z

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

Observation fe579534-2be0-47ed-b695-2e3bff54d759 · outbound

This paper cites Surface Single-Cluster Catalyst for N 2 -to-NH 3 Thermal Conversion.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Surface Single-Cluster Catalyst for N 2 -to-NH 3 Thermal Conversion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.970119Z

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

Observation cd507480-ce42-4cea-9686-a18db1c4a585 · outbound

This paper cites Advances in Heterogeneous Single-Cluster Catalysis.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Advances in Heterogeneous Single-Cluster Catalysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.963359Z

Source-reported events for the cited work

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

Observation 74cf2dbc-1e36-4cb8-806a-6fc3ca6acee6 · outbound

This paper cites Fully Exposed Cluster Catalyst ( FECC ): Toward Rich Surface Sites and Full Atom Utilization Efficiency.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Fully Exposed Cluster Catalyst ( FECC ): Toward Rich Surface Sites and Full Atom Utilization Efficiency

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.952593Z

Source-reported events for the cited work

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

Observation 08e92829-91c1-4906-aa21-2e0c8904afdb · outbound

This paper cites an unresolved cited work.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:03:39.944844Z

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

Observation 0e558608-1df8-4ce8-91d5-8e85f9202bc9 · outbound

This paper cites Potential- Driven Restructuring of Cu Single Atoms to Nanoparticles for Boosting the Electrochemical Reduction of Nitrate to Ammonia.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Potential- Driven Restructuring of Cu Single Atoms to Nanoparticles for Boosting the Electrochemical Reduction of Nitrate to Ammonia

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.936365Z

Source-reported events for the cited work

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

Observation 1cad6ffe-d9bd-411a-b0aa-b378888ba0ec · outbound

This paper cites Elucidating the Structure-Stability Relationship of Cu Single-Atom Catalysts Using Operando Surface-Enhanced Infrared Absorption Spectroscopy.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Elucidating the Structure-Stability Relationship of Cu Single-Atom Catalysts Using Operando Surface-Enhanced Infrared Absorption Spectroscopy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.927578Z

Source-reported events for the cited work

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

Observation 83128e1f-71d0-4b94-975f-9e465c0bb41d · outbound

This paper cites L.; Wang, L.-L.; Johnson, D.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ L.; Wang, L.-L.; Johnson, D

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.795892Z

Source-reported events for the cited work

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

Observation c6ff6318-2438-44ad-b035-d0c74f47a264 · outbound

This paper cites Predicting the Stability and Loading for Electrochemical Preparation of Single-Atom Catalysts.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Predicting the Stability and Loading for Electrochemical Preparation of Single-Atom Catalysts

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.647268Z

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

Observation c80ff01a-14f1-423c-b549-4898be22f668 · outbound

This paper cites P.; Kondor, R.; Cs \'a nyi, G.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ P.; Kondor, R.; Cs \'a nyi, G

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.639314Z

Source-reported events for the cited work

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

Observation 9c4600f8-1377-419e-a2e1-69ec29dd8c1c · outbound

This paper cites S.; Zhu, Q.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ S.; Zhu, Q

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.631631Z

Source-reported events for the cited work

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

Observation 6735a061-3ee7-45be-a288-94183b33de04 · outbound

This paper cites K.; Calegari Andrade, M.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ K.; Calegari Andrade, M

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.624372Z

Source-reported events for the cited work

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

Observation 269ac93a-5781-412b-9b8b-e4635fb09371 · outbound

This paper cites P.; Aktulga, H.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ P.; Aktulga, H

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.617005Z

Source-reported events for the cited work

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

Observation d1cfba52-770a-43f6-acf6-906c7aed1d10 · outbound

This paper cites A.; Hennig, R.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ A.; Hennig, R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.609996Z

Source-reported events for the cited work

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

Observation 42ea4fb6-36aa-4e40-90df-f5ce26d217f2 · outbound

This paper cites Vibrational Density of States of Silicon Nanoparticles.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Vibrational Density of States of Silicon Nanoparticles

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.587054Z

Source-reported events for the cited work

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

Observation e565d43c-466a-46c6-8def-e8b0e05877ee · outbound

This paper cites Manipulating Coordination Structures of Mixed-Valence Copper Single Atoms on 1T-MoS 2 for Efficient Hydrogen Evolution.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Manipulating Coordination Structures of Mixed-Valence Copper Single Atoms on 1T-MoS 2 for Efficient Hydrogen Evolution

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.558892Z

Source-reported events for the cited work

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

Observation e0e48068-d995-4809-8cad-4979653998a2 · outbound

This paper cites Short- Range Ordered Iridium Single Atoms Integrated into Cobalt Oxide Spinel Structure for Highly Efficient Electrocatalytic Water Oxidation.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Short- Range Ordered Iridium Single Atoms Integrated into Cobalt Oxide Spinel Structure for Highly Efficient Electrocatalytic Water Oxidation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.538013Z

Source-reported events for the cited work

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

Observation c1919310-6a43-4e51-9f0c-b0c75a81ee9a · outbound

This paper cites an unresolved cited work.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:03:39.486230Z

Source-reported events for the cited work

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

Observation a3b27cae-52ba-457c-987a-726e2ce53a7b · outbound

This paper cites an unresolved cited work.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:03:39.315541Z

Source-reported events for the cited work

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

Observation 4919b93a-f5db-43f2-89ec-3821403a072d · outbound

This paper cites L.; Tchougr \'e eff, A.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ L.; Tchougr \'e eff, A

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.276385Z

Source-reported events for the cited work

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

Observation 83de482e-bf93-4653-af6a-3d91785547ab · outbound

This paper cites L.; Tchougr \'e eff, A.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ L.; Tchougr \'e eff, A

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.268281Z

Source-reported events for the cited work

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

Observation c012e672-de80-410f-8f77-da5ee9e9b905 · outbound

This paper cites R.; Ono, L.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ R.; Ono, L

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.259787Z

Source-reported events for the cited work

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

Observation 9ecd2dd9-99f7-4255-a1ab-92fbb3e0acc9 · outbound

This paper cites R.; Roldan Cuenya, B.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ R.; Roldan Cuenya, B

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.251992Z

Source-reported events for the cited work

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

Observation d8435e27-d83c-4a88-ba12-2b1f6c8b2baa · outbound

This paper cites Tailoring the Catalytic Properties of Metal Nanoparticles via Support Interactions.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ Tailoring the Catalytic Properties of Metal Nanoparticles via Support Interactions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:03:39.242476Z

Source-reported events for the cited work

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

Observation 8ee9cd16-25a4-4bc3-9f99-1bc8dbd1ccde · outbound

This paper cites adobe:ns:meta/.

Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$ adobe:ns:meta/

Reference 46

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T15:03:39.232235Z

Source-reported events for the cited work

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

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