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Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs

Hao Zhang, Longxiang Jiang, Xinkun Chu, Yong Wen, Luxiong Li, Jianbo Liu, Yonghao Xiao, Liyuan Wang

2024Computer Physics Communications22 citationsDOI

Topics & Concepts

Artificial neural networkApplied mathematicsGraphInverseInverse problemFinite differenceMathematicsComputer scienceStatistical physicsCalculus (dental)Discrete mathematicsPhysicsMathematical analysisArtificial intelligenceMedicineDentistryGeometryModel Reduction and Neural NetworksNeural Networks and ApplicationsElectromagnetic Simulation and Numerical Methods
Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs | Litcius