⚛️ A module for solving and visualizing the Schrödinger equation.

ANI-1 neural net potential with python interface (ASE)

A python script that solves the one dimensional time-independent Schrodinger equation for bound states. The script uses a Numerov method to solve the differential equation and displays the desired energy levels and a figure with an approximate wave function for each of these energy levels.

A python script that displays an animation of an electron propagation and its interaction with arbitrary potential. The program solves the two-dimensional time-dependant Schrödinger equation using Crank-Nicolson algorithm.

A Schrödinger-Poisson solver for 2D materials with 1D interfaces (wires)

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

Analytical solution to the Time-Dependent Schrodinger equation for a particle in an infinite square well

Non-linear Schrodinger Equation Solver

Une simulation de l'évolution d'un paquet d'onde gaussien

An easy-to-use quantum mechanics library

2D 3D Time independent FDM Schrodinger equation solver for arbitrary shape of well

This repository contains Python 3 scripts for simulating the passage of a 2D Gaussian wave packet through a double slit. For this, the 2D Schrödinger equation is solved using the Crank-Nicolson numerical method.

Solving the one-dimensional time-dependent Schrodinger Equation for different potentials using the Crank-Nicolson method and analyzing the wavefunctions.

Collection of physics related neural networks for solving differential equations.

Solve the Schrodinger equation for a variety of 1D and 2D potentials.

This is the simulation of the behavior of the wave function of a particle in a box with a finite potential wall.

Schrodinger equation solver in 1D

Comparison of numerical solutions of the 1-D time-independent Schrödinger equation obtained through FDM, FEM and the neural network approach.

Python scripts for exploring the quantum hall effect.

Python implementation of the Crank-Nicolson method for solving the one dimensional time-dependent Schrödinger equation