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cond-mat.mtrl-sci2024
Universal Design Methodology for Printable Microstructural Materials via a New Deep Generative Learning Model: Application to a Piezocomposite
Mohammad Saber Hashemi, Khiem Nguyen, Levi Kirby +2
We devised a general heterogeneous microstructural design methodology applied to a specific material system, elasto-electro-active piezoelectric ceramic embedded plastics, which ha…
cond-mat.mtrl-sci2023
A peridynamic-informed deep learning model for brittle damage prediction
Roozbeh Eghbalpoor, Azadeh Sheidaei
In this study, a novel approach that combines the principles of peridynamic (PD) theory with PINN is presented to predict quasi-static damage and crack propagation in brittle mater…