2 papers
cond-mat.mes-hall2025
Electrically-tunable graphene nanomechanical resonators
Yi-Bo Wang, Zhuo-Zhi Zhang, Chen-Xu Wu +4
The excellent mechanical properties make graphene promising for realizing nanomechanical resonators with high resonant frequencies, large quality factors, strong nonlinearities, an…
cs.LG2025
Hard constraint learning approaches with trainable influence functions for evolutionary equations
Yushi Zhang, Shuai Su, Yong Wang +1
This paper develops a novel deep learning approach for solving evolutionary equations, which integrates sequential learning strategies with an enhanced hard constraint strategy fea…