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Maziar Raissi

  1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
    2018/11/03 by Maziar Raissi, M. Raissi, Paris Perdikaris +3 · 1109 citations
    Physics and Astronomy · Engineering · Earth and Planetary Sciences · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Meteorological Phenomena and Simulations
  2. Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
    2022/01/14 by Salvatore Cuomo, Vincenzo Schiano Di Cola, Cuomo, Salvatore +9 · 127 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications
  3. Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
    2022/07/26 by Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo +3 · 83 citations
    Engineering · Physics and Astronomy · #Heat Transfer and Optimization #Model Reduction and Neural Networks #Nanofluid Flow and Heat Transfer
  4. Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
    2017/11/28 by Maziar Raissi, Raissi, Maziar, Paris Perdikaris +3 · 60 citations
    Computer Science · Engineering · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  5. Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
    2020/01/31 by Maziar Raissi, Alireza Yazdani, George Em Karniadakis · 51 citations
    Computer Science · Physics and Astronomy · #Advanced Image Processing Techniques #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks
  6. Deep Hidden Physics Models: Deep Learning of Nonlinear Partial\n Differential Equations
    2018/01/20 by Maziar Raissi, Raissi, Maziar · 15 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Generative Adversarial Networks and Image Synthesis
  7. 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
  8. Deep Multi-fidelity Gaussian Processes
    2016/04/26 by Maziar Raissi, Raissi, Maziar, George Em Karniadakis +1 · 6 citations
    Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Gamma-ray bursts and supernovae
  9. Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
    2018/04/19 by Maziar Raissi, Raissi, Maziar · 5 citations
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Energy Load and Power Forecasting
  10. Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks
    2021/10/11 by Sagi Shaier, Maziar Raissi, Shaier, Sagi +3 · 5 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · #COVID-19 epidemiological studies #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical and Theoretical Epidemiology and Ecology Models #Quantitative Methods (q-bio.QM)
  11. A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
    2023/09/05 by Chayan Banerjee, Kien Nguyen, Banerjee, Chayan +5 · 5 citations
    Computer Science · Engineering · #Advanced Sensor and Energy Harvesting Materials #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Neural Networks and Reservoir Computing #Systems and Control (eess.SY) #electronic engineering #information engineering
  12. Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
    2024/04/26 by Reza Akbarian Bafghi, Bafghi, Reza Akbarian, Nidhin Harilal +5 · 3 citations
    Computer Science · #Blind Source Separation Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications #Neural Networks and Reservoir Computing
  13. A deep learning framework for solution and discovery in solid mechanics
    2020/02/14 by Ehsan Haghighat, Haghighat, Ehsan, Maziar Raissi +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)
  14. Physics-Informed Machine Learning for Smart Additive Manufacturing
    2024/07/15 by Rahul Sharma, Sharma, Rahul, Maziar Raissi +3 · 1 voice · 1 citation
    Engineering · Materials Science · #cs.LG #cs.CE
  15. Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
    2025/01/26 by Reza Akbarian Bafghi, Bafghi, Reza Akbarian, Carden Bagwell +7 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Neural Networks and Applications
  16. MixDiff: Mixing Natural and Synthetic Images for Robust Self-Supervised Representations
    2024/06/18 by Reza Akbarian Bafghi, Nidhin Harilal, Bafghi, Reza Akbarian +5 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image Retrieval and Classification Techniques
  17. Where Did Your Model Learn That? Label-free Influence for Self-supervised Learning
    2024/12/22 by Nidhin Harilal, Harilal, Nidhin, Ashutosh Rege +7 · 1 citation
    Computer Science · #Topic Modeling
  18. VeraGrid-Agent: Tool-Augmented LLMs for Distribution Optimal Power Flow at the Grid Edge
    2026/07/28 by Shivanshu Tripathi, Hamed Mohsenian-Rad, Maziar Raissi
    #eess.SY #cs.SY
  19. Spectrogram-Based Joint Detection, Localization, and Classification of Events in Continuously Recorded IBR Waveforms
    2026/07/23 by Shivanshu Tripathi, Maziar Raissi, Hamed Mohsenian-Rad
    #cs.SD #cs.SY #eess.SY