2019
DOI: 10.26434/chemrxiv.7789940.v2
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autoDIAS: A Python Tool for an Automated Distortion/Interaction Activation Strain Analysis

Abstract: 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.

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Cited by 2 publications
(2 citation statements)
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“…3b) using the autoDIAS software package. [39] This energy decomposition method was introduced independently by Houk and Bickelhaupt and has successfully been applied to investigate bioorthogonal cycloadditions. [32,[40][41][42] In this analysis, the energy of activation (ΔE ‡ ) is dissected into two parts, the distortion energy (ΔEdist), which is needed to distort the isolated reactants into transition state geometry, and the interaction energy (ΔEint) resulting from bringing the two distorted isolated fragments together.…”
Section: Resultsmentioning
confidence: 99%
“…3b) using the autoDIAS software package. [39] This energy decomposition method was introduced independently by Houk and Bickelhaupt and has successfully been applied to investigate bioorthogonal cycloadditions. [32,[40][41][42] In this analysis, the energy of activation (ΔE ‡ ) is dissected into two parts, the distortion energy (ΔEdist), which is needed to distort the isolated reactants into transition state geometry, and the interaction energy (ΔEint) resulting from bringing the two distorted isolated fragments together.…”
Section: Resultsmentioning
confidence: 99%
“…Preparation of structures for the ASM analysis along the IRC was carried out with the help of the autoDIAS program by Svatunek and Houk. 52 On the other hand, the polarization components of 𝐽(𝜉) were determined through counterpoise calculations 44,53 of molecular fragments using the geometry they would have within the supermolecule at every point along the IRC.…”
Section: Computational Detailsmentioning
confidence: 99%