Ehsan Haghighat

1. A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
   2021/03/12 by Ehsan Haghighat, Maziar Raissi, Adrian Moure +4 · 15 citations
   Engineering · Physics and Astronomy · #Advanced Numerical Analysis Techniques #Model Reduction and Neural Networks #Numerical methods in engineering
2. PINNeik: Eikonal solution using physics-informed neural networks
   2021/10/01 by Umair bin Waheed, Ehsan Haghighat, Tariq Alkhalifah +2 · 4 citations
3. PINNtomo: Seismic tomography using physics-informed neural networks
   2021/04/04 by Umair bin Waheed, Waheed, Umair bin, Tariq Alkhalifah +7 · 2 citations
   Earth and Planetary Sciences · Engineering · #Computational Physics (physics.comp-ph) #Drilling and Well Engineering #FOS: Physical sciences #Geophysics (physics.geo-ph) #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis
4. Constitutive model characterization and discovery using physics-informed\n deep learning
   2022/03/18 by Ehsan Haghighat, Haghighat, Ehsan, S. Abouali +3 · 1 citation
   Engineering · Physics and Astronomy · #74C05 #74P05 #74S60 #Computational Engineering #Elasticity and Material Modeling #FOS: Computer and information sciences #Finance #Fuel Cells and Related Materials #J.2 #Machine Learning (cs.LG) #Model Reduction and Neural Networks #and Science (cs.CE)
5. A deep learning framework for solution and discovery in solid mechanics
   2020/02/14 by Ehsan Haghighat, Maziar Raissi, Haghighat, Ehsan +7 · 2 citations
   Engineering · Materials Science · Physics and Astronomy · #74B05 #74L05 #74L10 (secondary) #74S05 #74S30 (primary) #Advanced Data Processing Techniques #Computational Engineering #FOS: Computer and information sciences #Finance #J.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #and Science (cs.CE)