Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.
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Updated
Jun 17, 2024 - Python
Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
Five-point stencil Convolutional Neural Networks (FCNNs)
Modeling Heat Conduction with Two-Dissipative Variables: A Mechanism-Data Fusion Method
Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework th…
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
a little library to help me with things involving Koopman operators
Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Python-based object-oriented discrete-event simulation tool for complex, data-driven modeling
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
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