AMADAR: a python-based package for large scale prediction of Diels-Alder transition state geometries and IRC path analysis

Bienfait Kabuyaya Isamura, Kevin A. Lobb. AMADAR: a python-based package for large scale prediction of Diels-Alder transition state geometries and IRC path analysis. J. Cheminformatics, 14(1):39, 2022. [doi]

@article{IsamuraL22,
  title = {AMADAR: a python-based package for large scale prediction of Diels-Alder transition state geometries and IRC path analysis},
  author = {Bienfait Kabuyaya Isamura and Kevin A. Lobb},
  year = {2022},
  doi = {10.1186/s13321-022-00618-3},
  url = {https://doi.org/10.1186/s13321-022-00618-3},
  researchr = {https://researchr.org/publication/IsamuraL22},
  cites = {0},
  citedby = {0},
  journal = {J. Cheminformatics},
  volume = {14},
  number = {1},
  pages = {39},
}