3 citations · 3 across the 4 of their papers we have counts for
5 papers
Equivariant Flow Matching for Electron Density Prediction
Chenxing Liang, Chengdong Wang, Yuchao Lin +2
Machine learning surrogates for density functional theory (DFT) have been increasingly used to reduce the cost of first-principles calculations. In this arena, predicting real-spac…
Spin-Weighted Spherical Harmonics Enable Complete and Scalable -Equivariant Networks
Chenxing Liang, Yuchao Lin, Andrii Kryvenko +5
-equivariant networks are promising for 3D atomistic system modeling, yet their scalability is limited by the complexity of the Clebsch-Gordan Tensor Produc…
Generative Quasi-Continuum Modeling of Confined Fluids at the Nanoscale
Bugra Yalcin, Ishan Nadkarni, Jinu Jeong +2
We present a data-efficient, multiscale framework for predicting the density profiles of confined fluids at the nanoscale. While accurate density estimates require prohibitively lo…
Water Isotope Separation using Deep Learning and a Catalytically Active Ultrathin Membrane
Jinu Jeong, Chenxing Liang, Narayana Aluru
Water isotope separation, specifically separating heavy from light water, is a socially significant issue due to the usage of heavy water in applications such as nuclear magnetic r…
Tuning Interfacial Water Friction through Moiré Twist
Chenxing Liang, Narayana R Aluru
Nanofluidics is pivotal in fundamental research and diverse applications, from water desalination to energy harvesting and biological analysis. Dynamically manipulating nanofluidic…