output
20182025
most citedAdvances in modeling complex materials: The rise of neuroevolution potentials

33 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

cond-mat.mtrl-sci2025★ 22 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★ 33 cited

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…

eess.IV2024

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis

Haowen Zhou, Steven, Lin +6

Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperform…

math.CV2019★ 2 cited

Second main theorem for holomorphic curves into algebraic varieties intersecting moving hypersurfaces targets

Libing Xie, Tingbin Cao

Since the great work on holomorphic curves into algebraic varieties intersecting hypersurfaces in general position established by Ru in 2009, recently there has been some developme…

cond-mat.mtrl-sci2018★ 24 cited

Fully Spin-Polarized Current in Gated Bilayer Silicene

Xiao-Fang Ouyang, Ze-Yi Song, Yu-Zhong Zhang

By applying density functional theory calculations, we predict that the groundstate of bilayer silicene at certain interlayer distances can be antiferromagnetic. At small electron…