raj-brown / APMA2070_S2025Links
☆16Updated 2 months ago
Alternatives and similar repositories for APMA2070_S2025
Users that are interested in APMA2070_S2025 are comparing it to the libraries listed below
Sorting:
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆10Updated 3 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Updated last year
- ☆13Updated last week
- ☆12Updated 5 months ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆14Updated last year
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Updated 2 years ago
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆28Updated 11 months ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Updated 2 years ago
- ☆16Updated last year
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆20Updated 9 months ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆16Updated 8 months ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- ☆14Updated 4 years ago
- ☆13Updated last year
- Numerical schemes for the Cahn-Hilliard equation.☆19Updated 8 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆25Updated 2 years ago
- This repository consists of two-step training DeepONet code.☆14Updated last year
- Reduced order modeling with shallow recurrent decoder networks☆19Updated last week
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Updated 4 years ago
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Updated last month
- ☆16Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- library for querying the Johns Hopkins Turbulence Database (JHTDB)☆22Updated 3 weeks ago
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Updated 2 weeks ago
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆15Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Updated 3 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Updated 4 years ago
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆18Updated last year