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2001.03608
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Solving inverse-PDE problems with physics-aware neural networks
Journal of Computational Physics (JCP), 2020
10 January 2020
Samira Pakravan
Pouria A. Mistani
M. Aragon-Calvo
Frédéric Gibou
AI4CE
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Papers citing
"Solving inverse-PDE problems with physics-aware neural networks"
16 / 16 papers shown
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GoRINNs: Godunov-Riemann Informed Neural Networks for Learning Hyperbolic Conservation Laws
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Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks
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Partial Differential Equations Meet Deep Neural Networks: A Survey
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Neuro-symbolic partial differential equation solver
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25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
Journal of Computational Physics (JCP), 2022
Pouria A. Mistani
Samira Pakravan
Rajesh Ilango
Frédéric Gibou
255
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Transformer Meets Boundary Value Inverse Problems
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Shuhao Cao
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Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data
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Mengyu Chu
Lingjie Liu
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Erik Franz
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SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
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Daniel Freedman
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Error-correcting neural networks for semi-Lagrangian advection in the level-set method
Luis Ángel Larios-Cárdenas
Frédéric Gibou
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Short-term traffic prediction using physics-aware neural networks
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Annika Lang
Balázs Kulcsár
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Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Neural Information Processing Systems (NeurIPS), 2021
Naoya Takeishi
Alexandros Kalousis
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25 Feb 2021
Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization
Engineering applications of artificial intelligence (EAAI), 2020
Jaydeep Rade
Aditya Balu
Ethan Herron
Jay Pathak
Rishikesh Ranade
Soumik Sarkar
A. Krishnamurthy
248
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09 Dec 2020
An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient
Haiyang He
Jay Pathak
226
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19 Jul 2020
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