Metadata-Version: 2.4
Name: pyAutoMR
Version: 0.3.0
Summary: Automatic MR based on PySCF
Author-email: Shirong Wang <srwang20@fudan.edu.cn>
Project-URL: Homepage, https://github.com/hebrewsnabla/pyAutoMR
Project-URL: Bug Tracker, https://github.com/hebrewsnabla/pyAutoMR/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: license-file

# pyAutoMR

[![Latest Version](https://img.shields.io/github/v/release/hebrewsnabla/pyAutoMR)](https://github.com/hebrewsnabla/pyAutoMR/releases/latest)
[![pypi version](https://img.shields.io/pypi/v/pyAutoMR.svg)](https://pypi.python.org/pypi/pyAutoMR)
[![Downloads](https://pepy.tech/badge/pyAutoMR/month)](https://pepy.tech/project/pyAutoMR)
[![PyPI Downloads](https://img.shields.io/pypi/dm/pyAutoMR.svg?label=PyPI%20downloads)](https://pypi.org/project/pyAutoMR/)

The method used by this program is quite similar to [MOKIT](https://gitlab.com/jxzou/mokit). However, we try to do everything with PySCF and without Gaussian.

This program aims to do:
* HF guess strategy
* automatic guess for CASSCF/GVB/SUHF 
* interface for post-MR

## Installation
Pre-requisites
* MOKIT (no need to fully compile, only `autopair` is needed)
* [PySCF](https://github.com/pyscf/pyscf)
* [mrh](https://github.com/MatthewRHermes/mrh) (optional, for MC-PDFT)
* [ExSCF](https://github.com/hebrewsnabla/ExSCF) (optional, for SUHF)
* [pyNOF](https://github.com/hebrewsnabla/pyNOF) (optional, for GVB)


Install
* git clone and add `/path/to/pyAutoMR` to your `PYTHONPATH`

## Features
* UHF -> UNO (-> PM LMO -> assoc rot) (-> GVB) -> CASSCF
* UHF -> SUHF -> CASSCF
* RHF (-> vir MO projection -> PM LMO -> pairing) (-> GVB ) -> CASSCF
* CASSCF -> MC-PDFT
* CASSCF(dry run) -> SA-CASSCF

UHF, RHF can be auto-detected.

## Utilities
* guess for UHF/UKS
  + mix
  + fragment
  + from_fch
  + flipspin (by lmo or by site)
* internal stability for RHF/RKS, UHF/UKS, ROHF/ROKS
  + optimize wavefunction until stable
* dump CASCI coefficients
* dump (active) orbital compositions

## Quick Start
```
from automr import guess, autocas

xyz = 'N 0.0 0.0 0.0; N  0.0 0.0 1.9' 
bas = 'cc-pvdz'

mf = guess.from_frag(xyz, bas, [[0],[1]], [0,0], [3,-3], cycle=50)
mf = guess.check_stab(mf)

mf2 = autocas.cas(mf)
```

## Tutorials
* [Tutorial: Symmetry-broken wavefunction](https://blog.shi-rong.wang/pyautomr_1.html)
* [Auto CASSCF: UHF case](https://blog.shi-rong.wang/mr_practice/mr_tutor.html#uhf-case)

## TODO
* TDDFT NO -> CASSCF

## Citation
Please cite pyAutoMR as
> Shirong Wang, pyAutoMR, https://github.com/jeanwsr/pyAutoMR (accessed month day, year)

and cite every program called by pyAutoMR, such as PySCF, MOKIT, mrh, etc.

<!--
If you perform calculations involving GVB, please also cite the following two papers
> DOI: 10.1021/acs.jctc.8b00854; DOI: 10.1021/acs.jpca.0c05216.
-->


[gh-downloads]: https://img.shields.io/github/downloads/hebrewsnabla/pyAutoMR/total?color=pink&label=GitHub%20Downloads
[kofi-badge]: https://img.shields.io/badge/Ko--fi-Buy%20me%20a%20coffee!-%2346b798.svg
[kofi]: https://ko-fi.com/srwang
