Trending repositories for topic computational-physics
Fluid simulation engine for computer graphics applications
Books with Fortran code, other than textbooks, listed by subject
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
Books with Fortran code, other than textbooks, listed by subject
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
Fluid simulation engine for computer graphics applications
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Fluid simulation engine for computer graphics applications
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Books with Fortran code, other than textbooks, listed by subject
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.
An interoperable Python framework for biomolecular simulation.
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Powerful, efficient particle trajectory analysis in scientific Python.
Books with Fortran code, other than textbooks, listed by subject
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.
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
An interoperable Python framework for biomolecular simulation.
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Fluid simulation engine for computer graphics applications
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
Powerful, efficient particle trajectory analysis in scientific Python.
Fluid simulation engine for computer graphics applications
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
An interoperable Python framework for biomolecular simulation.
Curated list of some open source codes employing lattice Boltzmann methods
Hydrogen wavefunction modeling and electron probability density plots
Powerful, efficient particle trajectory analysis in scientific Python.
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
Books with Fortran code, other than textbooks, listed by subject
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.
A Python module implementing some standard algorithms used in nonlinear time series analysis
Hydrogen wavefunction modeling and electron probability density plots
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
An interoperable Python framework for biomolecular simulation.
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
Smoothed Particle Hydrodynamics implementation with Python
Books with Fortran code, other than textbooks, listed by subject
Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems
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.
How to write a high quality scientific article using LaTeX. Source code included.
Curated list of some open source codes employing lattice Boltzmann methods
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
A PyMOL plugin for visualizing vibrations in molecules and solids