Computer Science
Inverse Problem
100%
Integro-Differential Equation
100%
Physics-Informed Neural Network
100%
Partial Differential Equation
42%
Discretization
21%
Governing Equation
21%
Relationships
14%
Physical Information
7%
Unknown Parameter
7%
Benchmark Problem
7%
Approximate Solution
7%
Good Performance
7%
Discretization Error
7%
Feedforward Neural Network
7%
Equation System
7%
Truncation Error
7%
Deep Learning
7%
Application
7%
Embedding
7%
Models
7%
Mathematics
Nonlinear Integro
100%
Differential Equation
100%
Nonlinear
27%
Discretization
22%
Partial Differential Equation
22%
Variables
16%
Order
16%
Approximates
11%
Truncation Error
5%
Approximate Solution
5%
Integer
5%
Equation System
5%
Integral Operator
5%
Stochastic Partial Differential Equation
5%
Noisy Data
5%
Fractional Partial Differential Equation
5%
Physical Law
5%
Fredholm
5%
Ordinary Differential Equation
5%
Automatic Differentiation
5%
Deep Learning
5%
Parameters
5%
Calculate
5%
Forward Problem
5%
Nonlinear Differential Equations
5%
Physics
Neural Network
100%
Operators (Mathematics)
100%
Physics
100%
Output
44%
Partial Differential Equation
33%
Performance
5%
Utilization
5%
Model
5%
Independent Variables
5%
Information
5%
Deep Learning
5%
Engineering
Networks
100%
Forwarder
100%
Discretization
16%
Governing Equation
16%
Feedforward
5%
Good Performance
5%
Nonlinear Partial Differential Equation
5%
Approximate Solution
5%
Nonlinear System
5%
Benchmark Problem
5%
Accurate Solution
5%
Truncation Error
5%
Equation System
5%
Discretization Error
5%
Surrogate Model
5%
Noisy Data
5%
Applications
5%
Obtains
5%
Demonstrates
5%
Deep Learning
5%
Chemical Engineering
Auxiliaries
100%
Neural Network
100%
Feedforward Neural Network
5%
Deep Learning
5%