6 papers
Electrostatic Phenomenology Benchmarks for Machine-Learned Interatomic Potentials in Electrochemistry: Beyond the Energy-Force Metric
Barbara Sumić, Ria Vasdev, Sudheesh Kumar Ethirajan +8
Accurate treatment of long-range interactions in machine learning interatomic potentials (MLIPs) is essential for electrochemical simulations. However, aggregate energy and force e…
User-defined Electrostatic Potentials in DFT Supercell Calculations: Implementation and Application to Electrified Interfaces
Samuel Mattoso, Jing Yang, Florian DeiÃenbeck +5
Introducing electric fields into density functional theory (DFT) calculations is essential for understanding electrochemical processes, interfacial phenomena, and the behavior of m…
Computing Solvation Shell Dynamics and Energetics in Electron Transfer Reactions via Molecular Dynamics Simulations
Zhenyu Wang, Mira Todorova, Christoph Freysoldt +1
Marcus theory is fundamental to describing electron transfer reactions and quantifying their rates, effectively representing the energy surface associated with an electron transfer…
First principles approaches and concepts for electrochemical systems
Mira Todorova, Stefan Wippermann, Jörg Neugebauer
Ab initio techniques have revolutionised the way in which theory can help practitioners to explore critical mechanisms that govern reactions or properties, and to develop new strat…
Macro-Dipole-Constrainted Learning of Atomic Charges for Accurate Electrostatic Potentials at Electrochemical Interfaces
Jing Yang, Bingxin Li, Samuel Mattoso +3
Large thermal fluctuations of the liquid phase obscure the weak macroscopic electric field that drives electrochemical reactions, rendering the extraction of reliable interfacial c…
SPEA -- an analytical thermodynamic model for defect phase diagram
Jing Yang, Ahmed Abdelkawy, Mira Todorova +1
We propose an analytical thermodynamic model for describing defect phase transformations, which we term the statistical phase evaluation approach (SPEA). The SPEA model assumes a B…