Advance knowledge at the Interface of AI and computational physics (scientific machine learning, data assimilation, physics-informed AI, uncertainty quantificat
COMSAiL (Jian-Xun Wang Research Group)
We try to advance knowledge at the Interface of AI and computational physics (SciML, AI4Science, Differentiable Physics, Data assimilation, UQ)
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PiNDiff-CVI
PiNDiff-CVI PublicProbabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process
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BasicUtility
BasicUtility PublicCommon utilities (e.g. input parameter reading) for Sci-ML jobs
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PIMBRL
PIMBRL PublicForked from Jianxun-Wang/PIMBRL
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
Python
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Repositories
Showing 10 of 13 repositories
- PiNDiff-CVI Public
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process
jx-wang-s-group/PiNDiff-CVI’s past year of commit activity - LabelFree-DNN-Surrogate Public Forked from Jianxun-Wang/LabelFree-DNN-Surrogate
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning
jx-wang-s-group/LabelFree-DNN-Surrogate’s past year of commit activity - PiNDiff-manufacturing Public Forked from Jianxun-Wang/PiNDiff-manufacturing
Physics-integrated neural differentiable model for composites manufacturing
jx-wang-s-group/PiNDiff-manufacturing’s past year of commit activity - PIMBRL Public Forked from Jianxun-Wang/PIMBRL
Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control
jx-wang-s-group/PIMBRL’s past year of commit activity - graphGalerkin Public Forked from Jianxun-Wang/graphGalerkin
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems
jx-wang-s-group/graphGalerkin’s past year of commit activity
