317 citations · 317 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Constitutive model characterization and discovery using physics-informed deep learning
Ehsan Haghighat, Sahar Abouali, Reza Vaziri
Classically, the mechanical response of materials is described through constitutive models, often in the form of constrained ordinary differential equations. These models have a ve…
cs.LG2020★ 317 cited
Physics-Informed Neural Network for Modelling the Thermochemical Curing Process of Composite-Tool Systems During Manufacture
Sina Amini Niaki, Ehsan Haghighat, Trevor Campbell +2
We present a Physics-Informed Neural Network (PINN) to simulate the thermochemical evolution of a composite material on a tool undergoing cure in an autoclave. In particular, we so…