2 papers
physics.ao-ph2026
Generalizable Neural Downscaling of Earth System Model Wind Fields via Continuous Dynamics Modeling
Chenxi Yu, Jianan Wei, Hanlin Kong +3
Accurate high-resolution wind field simulations are critical for resolving fine-scale atmospheric dynamics, yet the simulation of wind fields in Earth System Models (ESMs) remains…
physics.chem-ph2026
Scaling Neural Network Quantum States for Ab Initio Quantum Chemistry
Chenxi Yu, Hanlin Kong, Jianan Wei +4
Neural-network quantum states (NNQSs) can represent many-electron wave functions without explicitly enumerating the determinant space, but their accuracy depends jointly on model s…