baba-hashimoto / fermi.jl

Fermi quantum chemistry program

Documentation	Build Status	License	Citation

Fermi is a quantum chemistry framework written in pure Julia. This code is developed at the Center for Computational Quantum Chemistry at the University of Georgia under the supervision of Dr. Justin M. Turney and Prof. Henry F. Schaefer.

This work is supported by the U.S. National Science Foundation under grant number CHE-1661604.

For an academic overview of this project, check our paper published in the Journal of Chemical Theory and Computation: Fermi.jl: A Modern Design for Quantum Chemistry

Fermi focuses on post Hartree--Fock methods. Currently, only restricted references are supported. This is intended as a research code with an ever growing collection of methods implemented in the package itself. However, the Fermi API is designed to make high performance pilot implementations of methods achievable.

Currently, we have implementations of:

Method	Conv.	DF
RHF	Y	Y
RMP2	Y	Y
RCCSD	Y	Y
RCCSD(T)	Y	Y

Install

Install Fermi by running,

pkg> add Fermi

To access the package manager (pkg>) start the Julia terminal and hit ]. Alternatively, you can run

julia> using Pkg
julia> Pkg.add("Fermi")

If you would like the latest updates, use instead

pkg> add Fermi#master

Running single point energies

A minimal example of a computation is provided here. For more info check the documentation.

First, define a molecule

@molecule {
  O        1.2091536548      1.7664118189     -0.0171613972
  H        2.1984800075      1.7977100627      0.0121161719
  H        0.9197881882      2.4580185570      0.6297938830
}

Choose a basis set

@set basis sto-3g

Finally, run a computation

@energy ccsd;

Fermi Ecosystem

Molecules.jl: A package that deals with Atom objects. It can parse XYZ files and compute properties related to the position of nuclei.

GaussianBasis.jl: A library for integrals and basis set objects. It can parse .gbs basis set files and create BasisFunction and BasisSet structures. Integrals over Gaussian basis are computed using libcint.

Contribute

PR's, issues, and suggestions are very welcome! You might consider reaching out before starting work so that we can avoid duplication of efforts. Check the roadmap below for an idea of where this project is heading towards. Contact Gustavo Aroeira for any inquiries.