Publication | Open Access

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks

Comprehensive StudyEngineeringMachine LearningPhysicsPhysic Aware Machine LearningComputational NeuroscienceUncertainty QuantificationMonte Carlo MethodResidual-based Adaptive SamplingAdaptive AlgorithmMonte Carlo SamplingBrain-like ComputingPhysics-informed Machine LearningPhysics-informed Neural Networks