MartinAchondo / XPPBELinks
Physics Informed Neural Networks (PINNs) code to solve the 3D Poisson-Boltzmann equation.
☆10Updated 2 months ago
Alternatives and similar repositories for XPPBE
Users that are interested in XPPBE are comparing it to the libraries listed below
Sorting:
- Rheology-informed Machine Learning Projects☆19Updated last year
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆18Updated 2 years ago
- A molecular dynamics tutorial for new researchers in the area of nanomechanics.☆15Updated 2 years ago
- A deep learning Bayesian framework for attribute driven inverse materials design☆14Updated 5 years ago
- Simulation methods for particle systems, materials, and complex fluids with fluctuating hydrodynamics approaches (stochastic immersed bou…☆12Updated last year
- ☆14Updated last year
- An python script implementation to solve classical Density Functional Theory for Lennard-Jones fluids on 1D and 3D geometries☆20Updated 8 months ago
- mechanoChemML library☆17Updated 2 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 5 months ago
- ☆29Updated 2 years ago
- A dissipative particle dynamics (DPD) project.☆11Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- Contains the MD model used in the article Dewapriya and Miller, J. Appl. Mech. 88(10): 101005 (2021).☆11Updated 3 years ago
- A python code to calculate the Brownian motion of colloidal particles in a time varying force field.☆20Updated 7 months ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆47Updated 11 months ago
- ☆12Updated last week
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 10 months ago
- Topology Optimization for Porous Electrodes☆12Updated 2 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- TChem - A Software Toolkit for the Analysis of Complex Kinetic Models☆60Updated 7 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆30Updated 5 years ago
- Metropolis Monte Carlo particle simulations for statistical mechanics in Python and Cython. Simulates Lennard-Jones particles using a Mar…☆12Updated 10 years ago
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆21Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- HMM implementation featuring Deal.II (FE) and LAMMPS (MD)☆19Updated 3 years ago
- matlab files for phd project - design of nonlinear acoustic metamaterial with a chaotic response for low-frequency sound suppresion☆11Updated 7 years ago
- This repository includes my work/assignments while studying MOOC course on NPTEL. The course was on Phase Field Modelling: Computatonal a…☆9Updated 6 years ago
- ☆15Updated 10 months ago