pyAutoMR 0.3.1

Automatic MR based on PySCF

pyAutoMR

The method used by this program is quite similar to 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

• tomli
• PySCF
• MOKIT (optional, no need to fully compile, only autopair is needed)
• ExSCF (optional, for SUHF)
• pyNOF (optional, for GVB)

Install

• pip install pyAutoMR
• Or, 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)

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.