no code implementations • 15 Jan 2022 • Diab W. Abueidda, Seid Koric, Rashid Abu Al-Rub, Corey M. Parrott, Kai A. James, Nahil A. Sobh
The potential energy formulation and deep learning are merged to solve partial differential equations governing the deformation in hyperelastic and viscoelastic materials.
no code implementations • 31 Jan 2020 • Diab W. Abueidda, Seid Koric, Nahil A. Sobh
We have considered the case of materials with a linear elastic response with and without stress constraint.
1 code implementation • 22 Jan 2020 • Chia-Hao Lee, Abid Khan, Di Luo, Tatiane P. Santos, Chuqiao Shi, Blanka E. Janicek, Sangmin Kang, Wenjuan Zhu, Nahil A. Sobh, André Schleife, Bryan K. Clark, Pinshane Y. Huang
2D materials offer an ideal platform to study the strain fields induced by individual atomic defects, yet challenges associated with radiation damage have so-far limited electron microscopy methods to probe these atomic-scale strain fields.
Materials Science Mesoscale and Nanoscale Physics
no code implementations • 31 May 2019 • Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh
Once the training process is completed, the developed model is validated using data unseen during training.