activity
20242026
most citedNEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements

19 citations · 19 across the 1 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

6 papers · 1 filter

cond-mat.mtrl-sci202619 cited

NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements

Ting Liang, Ke Xu, Eric Lindgren +16

While machine-learned interatomic potentials offer near-quantum-mechanical accuracy for atomistic simulations, many are material-specific or computationally intensive, limiting the…

cond-mat.mtrl-sci2025

Advances in modeling complex materials: The rise of neuroevolution potentials

Penghua Ying, Cheng Qian, Rui Zhao +4

Interatomic potentials are essential for driving molecular dynamics (MD) simulations, directly impacting the reliability of predictions regarding the physical and chemical properti…

cond-mat.mtrl-sci2024

Million-atom heat transport simulations of polycrystalline graphene approaching first-principles accuracy enabled by neuroevolution potential on desktop GPUs

Xiaoye Zhou, Yuqi Liu, Benrui Tang +5

First-principles molecular dynamics simulations of heat transport in systems with large-scale structural features are challenging due to their high computational cost. Here, using…

cond-mat.mtrl-sci2024

Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

Penghua Ying, Wenjiang Zhou, Lucas Svensson +10

Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance o…

cond-mat.mtrl-sci2024

General-purpose machine-learned potential for 16 elemental metals and their alloys

Keke Song, Rui Zhao, Jiahui Liu +25

Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicabil…

cond-mat.mtrl-sci2024

Solute segregation in polycrystalline aluminum from hybrid Monte Carlo and molecular dynamics simulations with a unified neuroevolution potential

Keke Song, Jiahui Liu, Shunda Chen +3

One of the most effective methods to enhance the strength of aluminum alloys involves modifying grain boundaries (GBs) through solute segregation. However, the fundamental mechanis…