P

physics

Atomic Simulation Environment: A Python library for working with atoms

OpenMolcas is a quantum chemistry software package.

The key feature of OpenMolcas is the multiconfigurational approach to the electronic structure.

A Pythonic approach to cluster expansions

Theory and philosophy discussions about topological 4-geon theory.

SPECTRE (Stepped Pressure Equilibrium Code The Revised Edition) calculates 3D MHD equilibria with generalized magnetic topology in the MRxMHD framework.

📖 Documentation: https://spectre.readthedocs.io/en/latest/index.html

A python tool box for GPUMD simulations

Mandos is a general purpose differentiable simulator for C++ and Python.

Utilities for computational catalysis.

URANOS - the Ultra Rapid Neutron-Only Simulation is a Monte Carlo toolkit specifically tailored for Environmental Sciences

Constructing Wavefronts in an Embedded Half-Cylinde

A quantum computing simulator built from scratch in Python — no quantum SDKs, just NumPy and mathematics.

High-order force constants for the masses

Un conjunto de programas que realizan diferentes tareas con el seguimiento de expresiones faciales y movimiento de extremidades en tiempo real (haciendo uso de la cámara Web), los cuales genuinamente concluyen en un prototipo básico para controlar un avatar tridimensional mediante el movimiento del usario frente a una cámara, similar a lo que hacen los VTubers.

Automated operator construction for effective field theories.

Implementation of an H-Gravitation cosmology model for Cobaya, including modified background evolution, likelihood modules and parameter inference setups

General purpose angular resolved photoelectron photoemission spectroscopy (ARPES) analysis tool

Framework for controlling QKD devices and managing symmetric keys. See the project page here

The Physics Knowledge Graph is an automated tool designed to map the semantic landscape of the physics handbook by Yavorsky and Detlaf (Mir, 1982). By parsing LaTeX source files and identifying precise cross-references (such as \ssect and \ref commands), this system reconstructs the intricate web of dependencies between fundamental physical laws and their advanced applications. The resulting interactive visualization, powered by PyVis and NetworkX, provides a granular, hierarchical view of the curriculum, allowing educators and students to navigate the progression of physics concepts from foundational prerequisites to complex theoretical derivations.

A collection of physics simulations.