# reacnetgenerator **Repository Path**: deepmodeling/reacnetgenerator ## Basic Information - **Project Name**: reacnetgenerator - **Description**: No description available - **Primary Language**: Unknown - **License**: LGPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-04-11 - **Last Updated**: 2025-09-09 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ReacNetGenerator [![DOI:10.1039/C9CP05091D](https://img.shields.io/badge/DOI-10.1039%2FC9CP05091D-blue)](https://doi.org/10.1039/C9CP05091D) [![Citations](https://citations.njzjz.win/10.1039/C9CP05091D)](https://doi.org/10.1039/C9CP05091D) [![Research Group](https://img.shields.io/website-up-down-green-red/https/computchem.cn.svg?label=Research%20Group)](https://computchem.cn) An automatic reaction network generator for reactive molecular dynamics simulation. ReacNetGenerator: an automatic reaction network generator for reactive molecular dynamic simulations, Phys. Chem. Chem. Phys., 2020, 22 (2): 683–691, doi: [10.1039/C9CP05091D](https://dx.doi.org/10.1039/C9CP05091D) jinzhe.zeng@ustc.edu.cn (Jinzhe Zeng), tzhu@lps.ecnu.edu.cn (Tong Zhu) ## Features - Processing of MD trajectory containing atomic coordinates or bond orders - Hidden Markov Model (HMM) based noise filtering - Isomers identifying accoarding to SMILES - Generation of reaction network for visualization using force-directed algorithm - Parallel computing ## Guide and Tutorial The latest version requires Python 3.7 or later. You can install ReacNetGenerator with `conda`: ```sh conda install reacnetgenerator -c conda-forge reacnetgenerator -h ``` See [the guide](https://docs.deepmodeling.com/projects/reacnetgenerator/en/latest/guide/) to learn how to install and use ReacNetGenerattor. We also provide [a series of tutorials](https://docs.deepmodeling.com/projects/reacnetgenerator/en/latest/tutorial/) to help you learn ReacNetGenerator. ## Awards - The First Prize in 2019 (the 11th Session) Shanghai Computer Application Competition for College Students - The First Prize in 2019 (the 12th Session) Chinese Computer Design Competition for College Students ## Acknowledge - National Natural Science Foundation of China (Grants No. 91641116) - National Innovation and Entrepreneurship Training Program for Undergraduate (201910269080) - ECNU Multifunctional Platform for Innovation (No. 001)