4 citations · 7 across the 4 of their papers we have counts for
4 papers
Deep NURBS -- Admissible Physics-informed Neural Networks
Hamed Saidaoui, Luis Espath, Rául Tempone
In this study, we propose a new numerical scheme for physics-informed neural networks (PINNs) that enables precise and inexpensive solution for partial differential equations (PDEs…
Direct Scheme Calculation of the Kinetic Energy Functional Derivative Using Machine Learning
H. Saidaoui, S. Kais, S. Rashkeev +1
We report a direct scheme calculation of kinetic energy functional derivative using Machine Learning. Support Vector Regression and Kernel Ridge Regression techniques were independ…
Spin orbit torque in disordered antiferromagnets
Hamed Ben Mohamed Saidaoui, Aurelien Manchon
We investigate the current-induced spin-orbit torque in antiferromangnetic materials in the presence of Rashba spin orbit coupling using both the linear response theory and the non…
Crossover between spin swapping and Hall effect in metallic systems
Hamed Ben Mohamed Saidaoui, Y. Otani, A. Manchon
We theoretically study the crossover between spin Hall effect and spin swapping, a recently predicted phenomenon that consists in the interchange between the current flow and its s…