Trending repositories for topic computational-physics
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
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
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
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
An interoperable Python framework for biomolecular simulation.
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
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.
Curated list of some open source codes employing lattice Boltzmann methods
Hydrogen wavefunction modeling and electron probability density plots
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.
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
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
An interoperable Python framework for biomolecular simulation.
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.
[ICLR 2024] 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
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
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
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
Fluid simulation engine for computer graphics applications
Powerful, efficient particle trajectory analysis in scientific Python.
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
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
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
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
Curated list of some open source codes employing lattice Boltzmann methods
An interoperable Python framework for biomolecular simulation.
Powerful, efficient particle trajectory analysis in scientific Python.
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
Hydrogen wavefunction modeling and electron probability density plots
A Python module implementing some standard algorithms used in nonlinear time series analysis
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.
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
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.
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
A Python package to efficiently simulate non-Markovian open quantum systems with process tensors.
How to write a high quality scientific article using LaTeX. Source code included.
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.
Curated list of some open source codes employing lattice Boltzmann methods
Some python workbooks with various topics from Computational Physics
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
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
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
Powerful, efficient particle trajectory analysis in scientific Python.