A new explicit electric potential-embedded machine learning framework unifies atomic force and electron density predictions for electrochemical interfaces using PE-MACE and PE-EDP models.
Water Structures and Anisotropic Dynamics at Pt(211)/Water Interface Revealed by Machine Learning Molecular Dynamics.Mater
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.chem-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Explicit Electric Potential-Embedded Machine Learning Framework: A Unified Description from Atomic to Electronic Scales
A new explicit electric potential-embedded machine learning framework unifies atomic force and electron density predictions for electrochemical interfaces using PE-MACE and PE-EDP models.