Neural Networks

neural_operator
Core python scripts and notebooks implementing and testing neural operators
Mar 8, 2025
neural_operator
From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
This focused review explores a range of neural operator architectures for approximating solutions to parametric partial differential …
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Neural Networks to Accelerate Scientific Computing
Development and application of neural networks to accelerate scientific computing in areas of mechanistic simulation, parameter estimation, model selection, and optimization of materials and structures.
Neural Networks to Accelerate Scientific Computing
Residual-based error corrector operator to enhance accuracy and reliability of neural operator surrogates of nonlinear variational boundary-value problems
This work focuses on developing methods for approximating the solution operators of a class of parametric partial differential …
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Residual-Based Error Correction for Neural Operator Accelerated Infinite-Dimensional Bayesian Inverse Problems
Residual-based error corrector technique is proposed and applied to improve the neural operator predictions for Bayesian inference problems.
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