2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Energy-Based Physics-Informed Form Finding for Clustered Tensegrity Structures
Jing Qin, Muhao Chen
Tensegrity form-finding and physical property prediction are fundamental problems in structural mechanics, which aim to determine equilibrium configurations and internal force dist…
cs.LG2026
Symmetry-Reduced Physics-Informed Learning of Tensegrity Dynamics
Jing Qin, Muhao Chen
Tensegrity structures possess intrinsic geometric symmetries that govern their dynamic behavior. However, most existing physics-informed neural network (PINN) approaches for tenseg…
cs.CE2024★ 2 cited
Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
Muhao Chen, Jing Qin
In the design of tensegrity structures, traditional form-finding methods utilize kinematic and static approaches to identify geometric configurations that achieve equilibrium. Howe…