ReacNetGenerator#

An automatic reaction network generator for reactive molecular dynamics simulation

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Trajectory

Processing of MD trajectory containing atomic coordinates or bond orders

Filtering

Hidden Markov Model (HMM) based noise filtering

Isomers

Isomers identifying according to SMILES

Network

Generation of reaction network for visualization using force-directed algorithm

HTML5

Showing an interactive web page

Fast

Parallel computing and performance optimization

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Citation and contact#

[ZCC+20]

Jinzhe Zeng, Liqun Cao, Chih-Hao Chin, Haisheng Ren, John Z. H. Zhang, and Tong Zhu. ReacNetGenerator: an automatic reaction network generator for reactive molecular dynamics simulations. Phys. Chem. Chem. Phys., 22(2):683–691, 2020. doi:10.1039/C9CP05091D.

jinzhe.zeng@rutgers.edu (Jinzhe Zeng), tzhu@lps.ecnu.edu.cn (Tong Zhu)

Guide and Tutorials#

You can install ReacNetGenerator with conda:

conda install reacnetgenerator -c conda-forge
reacnetgenerator -h

See the guide to learn how to install and use ReacNetGenerator. We also provide a series of tutorials 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)

Table of contents#

Indices and tables#