Trending repositories for topic computational-physics
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Fluid simulation engine for computer graphics applications
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Fluid simulation engine for computer graphics applications
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
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
A Python module implementing some standard algorithms used in nonlinear time series analysis
Powerful, efficient particle trajectory analysis in scientific Python.
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.
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
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.
Curated list of some open source codes employing lattice Boltzmann methods
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
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.
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
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
A Python module implementing some standard algorithms used in nonlinear time series analysis
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
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.
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
Curated list of some open source codes employing lattice Boltzmann methods
Powerful, efficient particle trajectory analysis in scientific Python.
[ICLR'24] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Fluid simulation engine for computer graphics applications
[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
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
Powerful, efficient particle trajectory analysis in scientific Python.
An interoperable Python framework for biomolecular simulation.
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
A Python module implementing some standard algorithms used in nonlinear time series analysis
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
Some python workbooks with various topics from Computational Physics
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 3 package to efficiently compute non-Markovian open quantum systems.
[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
Some python workbooks with various topics from Computational Physics
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
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
A Python 3 package to efficiently compute non-Markovian open quantum 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
Geant4 toolkit for the simulation of the passage of particles through matter - NIM A 506 (2003) 250-303
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
Scientific Python package for solving Slater Koster tight-binding topological hamiltonian
A Python module implementing some standard algorithms used in nonlinear time series analysis
BOUT++: Plasma fluid finite-difference simulation code in curvilinear coordinate systems
Powerful, efficient particle trajectory analysis in scientific Python.
Python library for reading, writing, and converting computational chemistry file formats and generating input files.
