4.4 Article

autoDIAS: a python tool for an automated distortion/interaction activation strain analysis

期刊

JOURNAL OF COMPUTATIONAL CHEMISTRY
卷 40, 期 28, 页码 2509-2515

出版社

WILEY
DOI: 10.1002/jcc.26023

关键词

computational chemistry; bond theory; distortion; strain; software

资金

  1. Austrian Science Fund (FWF) [J 4216-N28]
  2. Hochschuljubilaumsstiftung of the city of Vienna [H-331849/2018]

向作者/读者索取更多资源

The distortion/interaction activation strain (DIAS) analysis is a powerful tool for the investigation of energy barriers. However, setup and data analysis of such a calculation can be cumbersome and requires lengthy intervention of the user. We present autoDIAS, a python tool for the automated setup, performance, and data extraction of the DIAS analysis, including automated detection of fragments and relevant geometric parameters. (c) 2019 Wiley Periodicals, Inc.

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