Keyphrases
Importance Sampling
100%
Efficient Training
100%
Physics-informed Neural Networks
100%
Sampling Approach
42%
Loss Function
42%
Numerical Examples
28%
Partial Differential Equations
28%
Collocation Points
28%
Convergence Behavior
14%
Material Properties
14%
Uniform Distribution
14%
Easy-to-implement
14%
Computational Efficiency
14%
Domain Geometry
14%
Diffusion-induced Stress
14%
Problem Description
14%
Training Data
14%
Training Effectiveness
14%
Laws of Physics
14%
Nonconvex Optimization Problems
14%
Physical Problems
14%
Automatic Differentiation
14%
Neural Network Training
14%
Numerical Partial Differential Equations
14%
Simulation-free
14%
Network Code
14%
Deep Neural Network
14%
Stochastic Gradient Algorithm
14%
Hyperparameters
14%
Initial-boundary Conditions
14%
Partial Differential Equation Solvers
14%
Governing Law
14%
Plane Stress Problem
14%
Piecewise Constant Approximation
14%
Mathematics
Neural Network
100%
Importance Sampling
100%
Partial Differential Equation
42%
Loss Function
42%
Numerical Example
28%
Convergence Behavior
14%
Uniform Distribution
14%
Training Dataset
14%
Wide Variety
14%
Physical Problem
14%
Deep Neural Network
14%
Automatic Differentiation
14%
Stochastic Gradient Descent Method
14%
Boundary Condition
14%
Engineering
Physics Informed Neural Network
100%
Loss Function
42%
Partial Differential Equation
42%
Numerical Example
28%
Collocation Point
28%
Computational Efficiency
14%
Optimisation Problem
14%
Domain Geometry
14%
Gradient Descent Method
14%
Initial and Boundary Condition
14%
Physical Problem
14%
Neural Network Training
14%
Plane Stress Problem
14%
Problem Description
14%
Deep Neural Network
14%
Material Science
Elasticity
100%
Materials Property
100%
Chemical Engineering
Neural Network
100%
Deep Neural Network
14%