The Library
Data for Automatic proposal of multi-step reaction mechanisms using a graph-driven search
Tools
Tools
Tools
Ismail, Idil, Stuttaford-Fowler, Holly, Ochan-Ashok, Curtis, Robertson, Christopher and Habershon, Scott (2019) Data for Automatic proposal of multi-step reaction mechanisms using a graph-driven search. [Dataset]
![[img]](https://wrap.warwick.ac.uk/style/images/fileicons/application_zip.png) |
Archive (ZIP)
ch-200319-wrap-change--data.zip - Accepted Version Available under License Creative Commons Attribution 4.0. Download (8Kb) |
![[img]](https://wrap.warwick.ac.uk/style/images/fileicons/text_plain.png) |
Plain Text
README.txt - Accepted Version Available under License Creative Commons Attribution 4.0. Download (349b) |
Official URL: http://wrap.warwick.ac.uk/113322
Abstract
Proposing and testing mechanistic hypotheses stands as one of the key applications of contemporary computational chemistry. In the majority of computational mechanistic analyses, the individual elementary steps leading from reactants to products are proposed by the user, based on learnt chemical knowledge, intuition, or comparison to an existing well-characterized mechanism for a closely-related chemical reaction. However, the pre-requisite of prior chemical knowledge is a barrier to automated (or `black box') mechanistic generation and assessment, and may simultaneously preclude mechanistic proposals which lie outside the `standard' chemical reaction set. In this Article, we propose a simple random-walk algorithm that searches for the set of elementary chemical reactions which transform defined reactant structures into target products. Our approach operates exclusively in the space of molecular connectivity matrices, seeking out the set of chemically-sensible bonding changes which link connectivity matrices for input reactant and product structures. We subsequently illustrate how atomic coordinates for each elementary reaction can be generated under the action of a bond-enforcing potential, prior to further analysis by ab initio quantum chemistry. Our approach is successfully demonstrated for CO oxidation, the water-gas shift reaction, and n-hexane aromatization, all catalyzed by Pt nanoparticles.
| Item Type: | Dataset | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QD Chemistry | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Chemistry Faculty of Science, Engineering and Medicine > Science > Centre for Scientific Computing |
||||||
| Type of Data: | Experimental data. Text files. | ||||||
| Library of Congress Subject Headings (LCSH): | Chemical reactions, Random walks (Mathematics) | ||||||
| Publisher: | University of Warwick, Department of Chemistry | ||||||
| Official Date: | 4 April 2019 | ||||||
| Dates: |
|
||||||
| Status: | Not Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Media of Output (format): | .dat .txt | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Copyright Holders: | University of Warwick | ||||||
| Description: | This zip file contains the energy data information for Figures 3, 4 and 5 for the manuscript: Automatic Proposal of Multi-Step Reaction Mechanisms Using a Graph-Driven Search, Submitted to Journal of Physical Chemistry, January 2019. |
||||||
| Date of first compliant deposit: | 25 March 2019 | ||||||
| Date of first compliant Open Access: | 4 April 2019 | ||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||||
| Grant number: | EP/R020477/1 | ||||||
| RIOXX Funder/Project Grant: |
|
||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
