Search Results for "python physics"

This software has moved to http://www.poissonboltzmann.org/.

Calculate electronic properties of graphene-like systems with a user friendly interface. The code uses the tight binding approximation and it is able to stude in a 0D, 1D and 2D geometries, orbital and magnetic fields, intrinsic and extrinsic spin-orbit coupling, sublattice imbalance, and interactions at the mean field level. The most recent version can be found in https://github.com/joselado/quantum-honeycomp Example...

User friendly interface for calculating electronic properties in graphene-like ribbons. The programs uses the tight binding approximation and mean field Hubbard model to predict electronic properties of graphene-like nanoribbons. See Discussion to ask questions or details Update: New versions of this program will be known as quantum-honeycomp

Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers.

SMMP (Simple Molecular Mechanics for Proteins) is a program library for protein simulations with an emphasis on advanced Monte Carlo algorithms. It includes various force fields to calculate the energy of a protein and protein-protein interactions.

A Software project to assimilate solar magnetograms into suitable physics based models of the solar wind expansion. To predict the solar wind conditions at the Earth and at outer planets. Or any space-craft location in the solar system.

The aim of project is creating program environment for solving some integral equations, arising at solving mathematical problems of the diffraction theory.

BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original source code and to build a Python interface on top of it.

Set of scripts based on gaussian optics, which allow you to analyze the image waist created from a gaussian beam, and quickly determine 1-lens and 2-lens mode matching configurations to match a beam waist to another waist size