Physics-informed learning for thermophysical field reconstruction and parameter measurement in a nano-porous insulator's heat transfer problem

Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

Maziar Raissi, Alireza Yazdani, George Em Karniadakis · Science · 2020 · 2K citations · Full text

Computing, Computer Science, Physics +16

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

Ehsan Haghighat, Maziar Raissi, Adrian Moure et al. · Computer Methods in Applied Mechanics and Engineering · 2021 · 1.2K citations

Engineering, Computational Engineering, Physics +16

<i>Ab initio</i> solution of the many-electron Schrödinger equation with deep neural networks

Physical Review Research · 2020 · 463 citations · Full text

Natural Sciences, Chemistry, Physics +17

Review of utilization of genetic algorithms in heat transfer problems

Louis Gosselin, Maxime Tye-Gingras, François Mathieu-Potvin · International Journal of Heat and Mass Transfer · 2009 · 405 citations

Engineering, Computational Engineering, Mechanical Engineering +13

Deep learning of vortex-induced vibrations

Journal of Fluid Mechanics · 2018 · 381 citations · Full text

Natural Sciences, Computer Science, Physics +17