2 papers
cs.LG2026
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…
physics.comp-ph2025
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…