Litcius/Paper detail

Physics-Informed Neural Networks: Theory and Applications

Cosmin Anitescu, Burak İsmail Ateş, Timon Rabczuk

2023Computational methods in engineering & the sciences10 citationsDOI

Topics & Concepts

Artificial neural networkHelmholtz free energyComputer scienceHelmholtz equationHyperelastic materialArtificial intelligenceApplied mathematicsField (mathematics)Mathematical optimizationMathematicsFinite element methodPhysicsMathematical analysisBoundary value problemPure mathematicsQuantum mechanicsThermodynamicsModel Reduction and Neural NetworksNuclear Engineering Thermal-HydraulicsProbabilistic and Robust Engineering Design
Physics-Informed Neural Networks: Theory and Applications | Litcius