Publication | Open Access

Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems

EngineeringMachine LearningPhysic Aware Machine LearningUncertainty QuantificationDeep UncertaintyInverse Stochastic ProblemsUncertainty PrincipleInverse ProblemsComputer ScienceUncertainty FormalismTotal UncertaintyUncertainty ModelingPhysics-informed Neural Networks