224 citations · 1k across the 30 of their papers we have counts for
4 papers · 1 filter
Meshless physics-informed deep learning method for three-dimensional solid mechanics
Diab W. Abueidda, Qiyue Lu, Seid Koric
Deep learning and the collocation method are merged and used to solve partial differential equations describing structures' deformation. We have considered different types of mater…
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure
E. A. Huerta, Asad Khan, Edward Davis +9
Significant investments to upgrade and construct large-scale scientific facilities demand commensurate investments in R&D to design algorithms and computing approaches to enable sc…
Topology optimization of 2D structures with nonlinearities using deep learning
Diab W. Abueidda, Seid Koric, Nahil A. Sobh
The field of optimal design of linear elastic structures has seen many exciting successes that resulted in new architected materials and structural designs. With the availability o…
Review and Examination of Input Feature Preparation Methods and Machine Learning Models for Turbulence Modeling
Shirui Luo, Jiahuan Cui, Madhu Vellakal +4
Model extrapolation to unseen flow is one of the biggest challenges facing data-driven turbulence modeling, especially for models with high dimensional inputs that involve many flo…