Maziar Raissi
University of Colorado Boulder
H-index: 23
North America-United States
Top articles of Maziar Raissi
Physics-guided, physics-informed, and physics-encoded neural networks and operators in scientific computing: Fluid and solid mechanics
Journal of Computing and Information Science in Engineering
2024/4/1
Célio Fernandes
H-Index: 10
Maziar Raissi
H-Index: 18
Comparing PINNs Across Frameworks: JAX, TensorFlow, and PyTorch
2024/3/3
Maziar Raissi
H-Index: 18
Machine Learning Through Physics–Informed Neural Networks: Progress and Challenges
2024/1/20
Xiao Wang
H-Index: 4
Maziar Raissi
H-Index: 18
PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in TensorFlow V2
arXiv preprint arXiv:2311.03626
2023/11/7
Maziar Raissi
H-Index: 18
PINNs-Torch: Enhancing Speed and Usability of Physics-Informed Neural Networks with PyTorch
2023/10/31
Maziar Raissi
H-Index: 18
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
arXiv preprint arXiv:2307.12304
2023/7/23
Real Estate Property Valuation using Self-Supervised Vision Transformers
arXiv preprint arXiv:2302.00117
2023/1/31
Mahdieh Yazdani
H-Index: 14
Maziar Raissi
H-Index: 18
Temporal Consistency Loss for Physics-Informed Neural Networks
arXiv preprint arXiv:2301.13262
2023/1/30
Maziar Raissi
H-Index: 18
Harsa Mitra
H-Index: 0
Open Problems in Applied Deep Learning
arXiv preprint arXiv:2301.11316
2023/1/26
Maziar Raissi
H-Index: 18
Physics-informed deep learning of gas flow-melt pool multi-physical dynamics during powder bed fusion
CIRP Annals
2023/1/1
Rahul Sharma
H-Index: 2
Maziar Raissi
H-Index: 18
Viscoelasticnet: A physics informed neural network framework for stress discovery and model selection
arXiv preprint arXiv:2209.06972
2022/9/14
Maziar Raissi
H-Index: 18
Scientific machine learning through physics–informed neural networks: Where we are and what’s next
2022/9
Data-Efficient Deep Learning using Physics-Informed Neural Networks
Proceedings of the 2nd Machine Learning in Heliophysics
2022/3
Maziar Raissi
H-Index: 18
Modeling, Analysis and Physics Informed Neural Network approaches for studying the dynamics of COVID-19 involving human-human and human-pathogen interaction
Computational and Mathematical Biophysics
2022/1/1
Long Nguyen
H-Index: 1
Maziar Raissi
H-Index: 18
Efficient Physics Informed Neural Networks Coupled with Domain Decomposition Methods for Solving Coupled Multi-physics Problems
Advances in Computational Modeling and Simulation
2022/1/1
Long Nguyen
H-Index: 1
Maziar Raissi
H-Index: 18
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics
Computer Methods in Applied Mechanics and Engineering
2021/6/1
Ehsan Haghighat
H-Index: 8
Maziar Raissi
H-Index: 18
Adrian Moure
H-Index: 6
Hector Gomez
H-Index: 6
Ruben Juanes
H-Index: 41
Physics informed learning machine
2021/3/30
Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks
arXiv preprint arXiv:2110.05445
2021/10/11
Sagi Shaier
H-Index: 0
Maziar Raissi
H-Index: 18
Systems biology informed deep learning for inferring parameters and hidden dynamics
PLOS Computational Biology
2020/11/18
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Science
2020/2/28
Maziar Raissi
H-Index: 18
Alireza Yazdani
H-Index: 1
