MolecularIntegrals.jl

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

MolecularIntegrals.jl

(★ 13)

Fast, hackable molecular integrals

MolecularIntegrals.jl 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# MolecularIntegrals.jl

| Status | Coverage |
| :----: | :----: |
| [![Build Status](https://travis-ci.com/rpmuller/MolecularIntegrals.jl.svg?branch=master)](https://travis-ci.com/rpmuller/MolecularIntegrals.jl) | [![codecov.io](http://codecov.io/github/rpmuller/MolecularIntegrals.jl/coverage.svg?branch=master)](http://codecov.io/github/rpmuller/MolecularIntegrals.jl?branch=master) |

The goal of MolecularIntegrals.jl is to supply **fast** and
**hackable** one- and two-electron integrals for computational chemistry calculations. 
There are many excellent molecular integral packages available to Julia programmers, but few are written *in* Julia. This project will explore how fast we can make these integrals while maintaining a readable and hackable code base.

The code is released under a [MIT License](LICENSE.md).

If you're only interested in *using* molecular integral code, we highly recommend using one of these existing projects:

- [libints](https://github.com/evaleev/libint) and its Julia bindings [Lints.jl](https://github.com/FermiQC/Lints.jl)
- [Pyscf](https://github.com/pyscf/pyscf), the [libcint](https://github.com/sunqm/libcint) package.
- [JuliaChem.jl](https://github.com/davpoolechem/JuliaChem.jl)'s [JERI bindings](https://github.com/davpoolechem/JuliaChem.jl/tree/development/deps/src)

Briefly, the `libints` packages implement Obara-Saiko and Head-Gordon/Pople recurrence relations, and the `libcints` packages implement 
Rys quadrature based methods. Both are excellent, and, more importantly, are well-tested by being used in many current projects.

What we hope `MolecularIntegrals.jl` will provide is simple, easily understandable methods that are nonetheless 
fast enough for production use and that will be valuable for people interested in understanding 
how these integration techniques work, and in modifying and improving them.

## Timing comparison
As a starting point to motivate the development, we will consider Table 5 from the paper [Libcint: an efficient general integral library for Gaussian basis functions](http://arxiv.org/abs/1412.0649) written by Qiming Sun, the author of Libcint and Pyscf, reporting the time required to compute electron repulsion integrals for ethane using different programs and different basis sets.

| Basis       | size | Psi4   | Molpro | Libcint w/o | w/SSE3 |
| ----------- | ---- | ------ | ------ | ----------- | ------ |
| 6-31G       | 30   | 0.10   | 0.09   | 0.09    | 0.07   |
| 6-311G**    | 72   | 0.64   | 0.49   | 0.49    | 0.41   |
| ANO         | 238  | 2527.6 | 51.13  | 53.59   | 37.78  |
| cc-pVDZ     | 58   | 0.45   | 0.34   | 0.24    | 0.21   |
| aug-cc-pVDZ | 100  | 1.87   | 1.18   | 1.02    | 0.85   |
| cc-pVTZ     | 144  | 4.98   | 4.82   | 2.65    | 2.05   |
| aug-cc-pVTZ | 230  | 26.03  | 23.12  | 12.40   | 9.27   |
| cc-pVQZ     | 290  | 81.24  | 65.12  | 31.51   | 22.60  |
| aug-cc-pVQZ | 436  | 444.23 | 324.29 | 151.04  | 107.24 |

### Preliminary Julia Timings for Ethane/6-31G
Compare to roughly 0.1 sec albeit on *completely different hardware*. This is mostly just to set a crude benchmark to compare coding improvements.

Results using a single thread:

| Basis   | size   | Huz    | HGP    | Rys   |
| ------- | ------ | ------ | ------ | ----- |
| sto-3G  | 16     | 1.71   | 0.041  | 0.415 |
| 6-31G   | 30     | 6.56   | 0.202  | 1.550 |
| cc-pVDZ | 58     | 115.4  | 2.451  | 25.94 |

With 4 threads:
| Basis   | size   | Huz    | HGP    | Rys   |
| ------- | ------ | ------ | ------ | ----- |
| sto-3G  | 16     | 0.814  | 0.021  | 0.186 |
| 6-31G   | 30     | 3.723  | 0.131  | 0.803 |
| cc-pVDZ | 58     | 62.60  | 1.727  | 16.31 |

These results hopefully still have lots of room for speedups.

MolecularIntegrals.jl

MolecularIntegrals.jl 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

MolecularIntegrals.jl

MolecularIntegrals.jl 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README