activity
20242026
most citedTraining Dataset Matters for Machine Learning Interatomic Potentials: Water Simulation as an Example

2 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2026

Polar vibrational excitations and glass-like response in relaxor PMN

Kehan Cai, Pinchen Xie, Yifan Li +1

Relaxor ferroelectrics retain crystalline order while exhibiting glass-like dielectric and thermal responses. Using atomistic models trained on first-principles data, we investigat…

physics.chem-ph2026

cboamd: A Machine Learning Molecular Dynamics Framework for Vibrational Strong Coupling

Yifan Li, Roberto Car, Johannes Flick

Under vibrational strong coupling (VSC), molecular vibrations hybridize with an optical cavity mode to form polaritons, offering a route to modify chemical and material properties…

physics.chem-ph2025★ 2 cited

Assessment of First-Principles Methods in Modeling the Melting Properties of Water

Yifan Li, Bingjia Yang, Chunyi Zhang +5

First-principles simulations have played a crucial role in deepening our understanding of the thermodynamic properties of water, and machine learning potentials (MLPs) trained on t…

physics.chem-ph2025★ 2 cited

Training Dataset Matters for Machine Learning Interatomic Potentials: Water Simulation as an Example

Yifan Li, Bingjia Yang, Chunyi Zhang +5

Accurate predictions of machine learning interatomic potentials (MLIPs) rely on training datasets covering relevant thermodynamic conditions and phases. Using water as an example,…

physics.comp-ph2025

Spectral Similarity Masks Structural Diversity at Hydrophobic Water Interfaces

Yong Wang, Yifan Li, Linhan Du +5

The air-water and graphene-water interfaces represent quintessential examples of the liquid-gas and liquid-solid boundaries, respectively. While the sum-frequency generation (SFG)…

physics.comp-ph2024

Enhanced Deep Potential Model for Fast and Accurate Molecular Dynamics; Application to the Hydrated Electron

Ruiqi Gao, Yifan Li, Roberto Car

In molecular simulations, neural network force fields aim at achieving \emph{ab initio} accuracy with reduced computational cost. This work introduces enhancements to the Deep Pote…

physics.chem-ph2024★ 2 cited

Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations

Chunyi Zhang, Marcos Calegari Andrade, Zachary K. Goldsmith +6

The electrical double layer (EDL) at aqueous solution-metal oxide interfaces critically affects many fundamental processes in electrochemistry, geology and biology, yet understandi…