Open-source quantum chemistry software for high-performance computational chemistry.
PSI4 is an open-source suite designed for performing ab initio quantum chemistry calculations. Written in C++ with Python bindings (Pybind11), it supports a wide range of methods, from Hartree-Fock (HF) and Density Functional Theory (DFT) to Coupled Cluster (CC) theories, including explicitly correlated MP2-F12 and DLPNO-CCSD(T) methods. Its modular architecture facilitates integration with community projects and extensions through plugins. PSI4 uses techniques like density fitting and multi-core execution for DFT, MP2, SAPT, and coupled-cluster calculations. It is designed to be user-friendly with simple input files and automated procedures like basis set extrapolation. PSI4 is used in research, education, and industry, emphasizing performance, flexibility, and ease of use for both users and developers.
PSI4 is an open-source suite designed for performing ab initio quantum chemistry calculations.
Explore all tools that specialize in geometry optimization. This domain focus ensures PSI4 delivers optimized results for this specific requirement.
Improves the efficiency of MP2 calculations by approximating two-electron integrals using density fitting.
Calculates intermolecular interaction energies by decomposing them into physically meaningful components.
A local correlation method that reduces the computational cost of CCSD(T) calculations by truncating the virtual space.
Includes explicit correlation effects in MP2 calculations to improve accuracy and convergence with respect to basis set size.
Frozen natural orbitals for CCSD(T), QCISD(T), CEPA, and MP4
Download PSI4 from the GitHub Releases page or compile from source.
Install PSI4 using conda or a package manager.
Set up the ~/.psi4rc file for runtime configuration.
Write a simple input file specifying the molecule and desired calculation.
Run PSI4 from the command line or as a Python module.
Consult the PSI4 manual for keywords and options.
Explore tutorials for specific methods and workflows.
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"Praised for its flexibility, performance, and open-source nature, but can have a steep learning curve for new users."
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The premier open-source molecular builder and visualization engine for advanced computational chemistry.
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