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This respository contains workflows to calculate transition state other relevant properties using QuAcc library.

Home Page: https://kumaranu.github.io/ts-workflow-examples/

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
ase geodesic ircs mace newtonnet quacc sella transition-states

ts-workflow-examples's Introduction

Transition State Workflow Examples

This repository provides directly usable examples for Transition State (TS) workflows using NewtonNet and MACE. The examples include:

NewtonNet:

  1. NEB + TS with Hessian
  2. NEB + TS without Hessian
  3. Geodesic + TS with Hessian
  4. Geodesic + TS without Hessian

MACE:

  1. NEB + TS with Hessian
  2. NEB + TS without Hessian
  3. Geodesic + TS with Hessian
  4. Geodesic + TS without Hessian

Getting Started

Prerequisites

  • Python 3.10
  • Conda (for managing environments)

Installation

  1. Create and Activate Conda Environment

    Create a new Conda environment with Python 3.10:

    conda create -n test_env python=3.10

    Activate the newly created environment:

    conda activate test_env
  2. Clone the Repository and Install Dependencies

    Clone the repository from GitHub:

    git clone https://github.com/kumaranu/ts-workflow-examples.git

    Navigate to the cloned repository:

    cd ts-workflow-examples

    Install the package in editable mode:

    pip install -e .

    Install the additional requirements for testing:

    pip install -r tests/requirements.txt

Running Example Scripts

Navigate to one of the directories that contains example scripts inside the src/ts-workflow-examples directory. For example, to run a script from the geodesic_ts_with_hessian directory:

cd src/ts-workflow-examples/geodesic_ts_with_hessian

Run the desired script (for example, using_newtonnet.py):

python using_newtonnet.py

Note: Ensure that you are in the correct directory as the paths inside the input files are relative. This will allow the inputs and ML-model provided with the repository to run correctly.

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