# Trending repositories for topic
**computational-physics**

[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303

[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

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

[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

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

Powerful, efficient particle trajectory analysis in scientific Python.

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 en...

A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.

Curated list of some open source codes employing lattice Boltzmann methods

Hydrogen wavefunction modeling and electron probability density plots

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.

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems

Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston

state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations

Hydrogen wavefunction modeling and electron probability density plots

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 en...

A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.

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.

Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

Curated list of some open source codes employing lattice Boltzmann methods

Powerful, efficient particle trajectory analysis in scientific Python.

BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems

state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations

Python library for reading, writing, and converting computational chemistry file formats and generating input files.

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

Curated list of some open source codes employing lattice Boltzmann methods

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

Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston

Powerful, efficient particle trajectory analysis in scientific Python.

An interoperable Python framework for biomolecular simulation.

BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

A Python module implementing some standard algorithms used in nonlinear time series analysis

Hydrogen wavefunction modeling and electron probability density plots

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.

Python library for reading, writing, and converting computational chemistry file formats and generating input files.

A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.

Hydrogen wavefunction modeling and electron probability density plots

An interoperable Python framework for biomolecular simulation.

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

Some python workbooks with various topics from Computational Physics

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.

A program implementing the Hartree–Fock (also post-HF: MP2, CCSD(T), CIS and TDHF/RPA)/self-consistent field method (also DIIS) with Gaussian orbitals

BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems

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.

Python library for reading, writing, and converting computational chemistry file formats and generating input files.

Scientific Python package for solving Slater Koster tight-binding topological hamiltonian

Powerful, efficient particle trajectory analysis in scientific Python.