A machine-learned force field that takes electric potential as an input predicts that Cu atoms on 1T'-MoS2 assemble into small clusters at potentials below -0.1 V vs SHE.
Grand Canonical Ensemble Modeling of Electrochemical Interfaces Made Simple
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Constant-Potential Machine Learning Molecular Dynamics Simulations Reveal Potential-Regulated Cu Cluster Formation on MoS$_{2}$
A machine-learned force field that takes electric potential as an input predicts that Cu atoms on 1T'-MoS2 assemble into small clusters at potentials below -0.1 V vs SHE.