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
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
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.
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
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
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
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
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
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
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.
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
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
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.