most citedThermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CE2020★ 4 cited

Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics

Jiaxin Zhang, Congjie Wei, Chenglin Wu

For multilayer materials in thin substrate systems, interfacial failure is one of the most challenges. The traction-separation relations (TSR) quantitatively describe the mechanica…

cs.CE2020

Data Driven Modeling of Interfacial Traction Separation Relations using a Thermodynamically Consistent Neural Network

Congjie Wei, Jiaxin Zhang, Kenneth M. Liechti +1

For multilayer structures, interfacial failure is one of the most important elements related to device reliability. For cohesive zone modelling, traction-separation relations repre…