Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
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Updated
Jun 6, 2024 - C++
Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency using GPUs.
ab-initio continuous path integral Monte Carlo
Generator of polynomial machine learning potentials
ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
Reproduced papers in Plasma Physics and beyond
OpenMC Monte Carlo Code
Simulate crystallographic preferred orientation evolution in polycrystals
Hercules is an octree-based finite element earthquake simulator originally developed by the Quake Group at Carnegie Mellon. Hercules is used to solve large-scale earthquake wave propagation problems. For instructions on how to build, install and execute Hercules, please read the documentation below.
Powerful, efficient particle trajectory analysis in scientific Python.
A numeric simulation for solar system
Hey there! Are you looking to learn Linear Algebra, Thermodynamics or Quantum Mechanics? Here you can find a collection of notebooks related to physics and mathematics!
Repository for the Summer Tutorials on Computational Physics at Ohio University
Teaching Utility for Classical Atomistic Simulation.
All the code used in the simulations for my masters thesis.
Numerical simulation of the Aharonov-Bohm effect
The critical temperature of a superconductor is predicted using XGBoost algorithm.
How to write a high quality scientific article using LaTeX. Source code included.
A Python 3 package to efficiently compute non-Markovian open quantum systems.
Repositório contendo Notebooks elaborados pelo membro do PET - Física UFRN Gabriel Wendell Celestino Rocha como contribuição ao projeto PET.py.
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