2 papers
physics.comp-ph2026
Towards Unified AI-Driven Fracture Mechanics: The Extended Deep Energy Method (XDEM)
Yizheng Wang, Yuzhou Lin, Somdatta Goswami +8
Physics-Informed Neural Networks (PINNs) have recently emerged as powerful tools for solving partial differential equations (PDEs), with the Deep Energy Method (DEM) proving especi…
physics.comp-ph2025
LENNs: Locally Enhanced Neural Networks for High-Fidelity Modeling in Solid Mechanics
Zhihong Lai, Luyang Zhao, Qian Shao
Despite prior advances in PINNs, significant challenges remain in localized solid mechanics problems because of the limitations of single network formulations in simultaneous resol…