activity
20232026
most citedPre-training, fine-tuning, and distillation (PFD): Automatically generating machine learning force fields from universal models

9 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Role of Characteristic Length Scale in Interface Graphitization-Induced Wear Resistance of Diamond and Amorphous Carbon

WenLiang Shi, YanYu Zhang, WenZheng Liao +4

The evolution of interfacial atomic structures critically influences the friction and wear behavior of carbon-based materials. However, how the characteristic length scale of frict…

cond-mat.mtrl-sci2025

Chemical-space completeness through iterative crystal-structure generation and model adaptation

Fengyu Xie, Ruoyu Wang, Taoyuze Lv +3

The emergence of deep learning has brought large-scale exploration of crystalline materials closer to practical realization. Yet, universal atomistic models face a practical trade-…

cond-mat.mtrl-sci2025★ 9 cited

Pre-training, fine-tuning, and distillation (PFD): Automatically generating machine learning force fields from universal models

Ruoyu Wang, Yuxiang Gao, Hongyu Wu +1

Universal force fields generalizable across the periodic table represent a new trend in computational materials science. However, the applications of universal force fields in mate…

cond-mat.mtrl-sci2024

A compositional ordering-driven morphotropic phase boundary in ferroelectric solid solutions

Yubai Shi, Yifan Shan, Hongyu Wu +3

Ferroelectric solid solutions usually exhibit giant dielectric response and high piezoelectricity in the vicinity of the morphotropic phase boundary (MPB), where the structural pha…

cond-mat.mtrl-sci2023

Pressure-induced one-dimensional oxygen ion diffusion channel in lead-apatite

Ri He, Hongyu Wu, Xuejian Qin +2

Recently, Lee et al. claimed that the experimental observation of room-temperature ambient-pressure superconductivity in a Cu-doped lead-apatite (Pb10-xCux(PO4)6O). The study revea…

cond-mat.mtrl-sci2023★ 4 cited

Atomistic simulations of thermodynamic properties of liquid gallium from first principles

Hongyu Wu, Wenliang Shi, Ri He +4

In the research of condensed matter, atomistic dynamic simulations play a crucial role, particularly in revealing dynamic processes, phase transitions and thermodynamic statistics…