Isaac-Somerville / Neural-Networks-for-Solving-Differential-EquationsLinks
Codebase for Master's dissertation in Mathematics at Durham University. Topic: applying neural networks to differential equations. Grade: 85/100.
☆14Updated 2 years ago
Alternatives and similar repositories for Neural-Networks-for-Solving-Differential-Equations
Users that are interested in Neural-Networks-for-Solving-Differential-Equations are comparing it to the libraries listed below
Sorting:
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆59Updated 4 years ago
- Materials for my Structural and Multidisciplinary Design Optimization course☆46Updated 7 months ago
- The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.☆39Updated 3 weeks ago
- Python scripts related to aerodynamic analysis and shape optimization☆19Updated 5 years ago
- Algebraic Dynamic Mode Decomposition with Model Predictive Control☆24Updated 5 years ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆14Updated 5 years ago
- This repo is a work in progress aimed at gathering useful open-source resources for CFD engineers in one place. It includes notes, script…☆15Updated last month
- A set of Python notebooks to introduce the fundamentals of numerical programming using extensive examples from engineering.☆34Updated 4 years ago
- Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.☆66Updated 4 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆55Updated 2 years ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆32Updated 3 months ago
- ☆28Updated 5 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆21Updated 4 years ago
- Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)☆124Updated last week
- CNN for airfoil lift-to-drag-ratio prediction☆44Updated 6 years ago
- mechanics, statistical mechanics, fluid dynamics, thermodynamics, quantum mechanics, electromagnetism☆31Updated 5 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆33Updated 3 years ago
- ☆24Updated 5 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 4 years ago
- Data-driven reduced order modeling for nonlinear dynamical systems☆90Updated 3 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- A 2D finite difference fluid flow solver written in python with numpy vectorization for fast performance. Currently it supports single ph…☆54Updated 4 years ago
- Deep reinforcement learning with OpenFOAM☆44Updated 4 months ago
- A Computational Fluid Dynamics (CFD) course with Python☆98Updated last year
- Bayesian optimized physics-informed neural network for parameter estimation☆32Updated 10 months ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆20Updated 2 years ago
- This repository contains code development for the 4th credit project for AE416. The aim of the project is to compare different optimizati…☆25Updated 8 years ago