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SUPER FAST D/I analysis with aimnet2

Project description

DOI

image

aim(AIMNet2) + DIAS(distortion interaction analysis)

aimDIAS is a Python package compatible with IPython that enables SUPER-FAST Distortion Interaction Analysis (or activation strain analysis) using aimnet2 models.


Colab Tutorials

aimDIAS is currently in beta version. Functions may change depending on the version, so please check the version number.

notebook aimDIAS version description
Open In Colab v. 1.0 basic tutorials

Basic Usage

For detail, see docs/*, notebooks/*

  • Draw your molecule
from aimDIAS import draw_xyz

draw_xyz("h2o.xyz", charge=0)
  • Run calculation
from aimDIAS import aimDIAS_run

fp = {
  "frag_1" : (-1, [1, 2]),
  "frag_2" : (+1, [3])
  }

aimDIAS_run(trajFile="h2o.xyz", fragments_params=fp)
  • Plot your Result without calculation
from aimDIAS import aimDIAS_run

gp = {"distance" : "1 2"}

fp = {
  "frag_1" : (-1, [1, 2]),
  "frag_2" : (+1, [3])
  }

aimDIAS_run(trajFile="h2o.xyz",
            fragments_params=fp,
            mode="plot",
            axis_type="distance",
            geo_param=gp)

Gallery

Diels-Alder reaction

image


Wittig Rection

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How to Install

pip

  • pip install aimDIAS # old version
    
    pip install git+https://github.com/kangmg/aimDIAS.git # current version
    

git clone

  • terminal
    ### terminal ###
    git clone https://github.com/kangmg/aimDIAS
    
    
    pip install -q -r path/to/aimDIAS/requirements.txt
    
  • ipython
    ### python ###
    import sys
    sys.path.append("path/to/aimDIAS")
    

Requirements

python >= 3.10.0


Share your Data

Share your files and contribute to the community!

By sharing your xyz trajectory files in the Discussion section, you can make them available as sample data for everyone to use. Please refer to this discussion link for more information:

image

Files posted in the Discussion section will be uploaded to the samples/ directory in the project repository for easy download and utilization with the load_data() function.


Bug Report

kangmg@korea.ac.kr or issue in github

I'm always happy to hear feedback and suggestions. Feel free to contact me anytime.


Project details


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Source Distribution

aimDIAS-1.1.0.tar.gz (69.3 MB view hashes)

Uploaded Source

Built Distribution

aimDIAS-1.1.0-py3-none-any.whl (69.5 MB view hashes)

Uploaded Python 3

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