19 citations · 38 across the 4 of their papers we have counts for
4 papers
Latent Representation Learning of Multi-scale Thermophysics: Application to Dynamics in Shocked Porous Energetic Material
Shahab Azarfar, Joseph B. Choi, Phong CH. Nguyen +4
Coupling of physics across length and time scales plays an important role in the response of microstructured materials to external loads. In a multi-scale framework, unresolved (su…
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
Phong C. H. Nguyen, Xinlun Cheng, Shahab Azarfar +6
Modeling unsteady, fast transient, and advection-dominated physics problems is a pressing challenge for physics-aware deep learning (PADL). The physics of complex systems is govern…
Convolutional neural networks for large-scale dynamical modeling of itinerant magnets
Xinlun Cheng, Sheng Zhang, Phong C. H. Nguyen +3
Complex spin textures in itinerant electron magnets hold promises for next-generation memory and information technology. The long-ranged and often frustrated electron-mediated spin…
Random Finite Noncommutative Geometries and Topological Recursion
Shahab Azarfar, Masoud Khalkhali
In this paper we investigate a model for quantum gravity on finite noncommutative spaces using the theory of blobbed topological recursion. The model is based on a particular class…