DC

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An electronic state solver distributed with GAMESS, the quantum chemical (QM) calculation software. Combining energy density analysis and Divide-and-Conquer (DC) method, accurate QM calculation with electronic correlation is solved in a short time. Highly accurate QM calculations for many-atom/nano-scale material can be solved when run on a high performance super computer.

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QUIP

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

A collection of software tools for molecular dynamics calculations. Various interatomic potentials and tight binding models are implemented, and numerous external applications can be invoked. It also supports training and evaluation of GAP (Gaussian Approximation Potential), which is a form of machine learning potential.

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QMCPACK

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code. Its main applications are electronic structure calculations of molecular, quasi-2D and solid-state systems. Variational Monte Carlo (VMC), diffusion Monte Carlo (DMC), orbital space auxiliary field QMC (AFQMC) and a number of other advanced QMC algorithms are implemented.

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GAMESS-US

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

An open-source application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, many-body perturbation, configuration interaction theories, and so on. Even though this application is freeware, it succeeds in maintaining high-quality and high-performance codes by active development, and has a number of world-wide users. It histrically shares core programs with GAMESS-UK.

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NequIP

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Open source software for building and using machine learning potentials based on E(3)-equivariant graph neural networks, which can be trained on output files of simulation codes that can be read by ASE. Molecular dynamics calculations with LAMMPS can be performed using the trained potentials.

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EDlib

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

EDlib is an app for performing finite-temperature exact diagonalizations for quantum many-body systems. EDlib is written in C++ and it is possible to obtain finite-temperature properties such as the one-body Green’s function in the Hubbard model and the Anderson model.

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Allegro

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Open source software for constructing the Allegro potential model based on E(3)-equivariant graph neural networks and using the potential model for molecular dynamics simulations. The code depends on NequIP and can be run in a similar manner. Allegro scales better than NequIP since it doesn’t rely on message passing and the architecture is strictly local with respect to atom-wise environments.

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Q-Chem

  • Level of openness 0 ☆☆☆
  • Document quality 2 ★★☆

An application for ab initio quantum chemical calculation. This application can calculate molecular structures, chemical reactivity, frequency analysis, electron spectrum, and NMR spectrum with high accuracy. It implements the density functional theory, the Hartree-Fock(HF) method as well as recently developed methods such as the post-HF correlation method. It also has GUI for molecular modeling and a tool for preparation of input files.

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Firefly

  • Level of openness 2 ★★☆
  • Document quality 2 ★★☆

An application for ab initio quantum chemical calculation. This application performs electronic structure calculation of molecules by the Hartree-Fock, density functional, the many-body perturbation, configuration interaction theories, and so on. While this application is a derivative of GAMESS-US for specific use of Intel compatible CPU, it does not include recently developed calculation methods such as the CC and FMO methods.

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OpenFermion

  • Level of openness 3 ★★★
  • Document quality 2 ★★☆

Open-source software for quantum computing in quantum chemistry. OpenFermion can map the ab-initio Hamiltonian of an target molecular or material in second quantization to that in qubits. Parameters of the Hamiltonian is estimated by using other software for first-principles calculations. OpenFermion also provides users plugins to support integration with apps for quantum circuits and quantum simulators.

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