Literature DB >> 25340884

Studying chemical reactivity in a virtual environment.

Moritz P Haag1, Markus Reiher.   

Abstract

Chemical reactivity of a set of reactants is determined by its potential (electronic) energy (hyper)surface. The high dimensionality of this surface renders it difficult to efficiently explore reactivity in a large reactive system. Exhaustive sampling techniques and search algorithms are not straightforward to employ as it is not clear which explored path will eventually produce the minimum energy path of a reaction passing through a transition structure. Here, the chemist's intuition would be of invaluable help, but it cannot be easily exploited because (1) no intuitive and direct tool for the scientist to manipulate molecular structures is currently available and because (2) quantum chemical calculations are inherently expensive in terms of computational effort. In this work, we elaborate on how the chemist can be reintroduced into the exploratory process within a virtual environment that provides immediate feedback and intuitive tools to manipulate a reactive system. We work out in detail how this immersion should take place. We provide an analysis of modern semi-empirical methods which already today are candidates for the interactive study of chemical reactivity. Implications of manual structure manipulations for their physical meaning and chemical relevance are carefully analysed in order to provide sound theoretical foundations for the interpretation of the interactive reactivity exploration.

Year:  2014        PMID: 25340884     DOI: 10.1039/c4fd00021h

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  3 in total

Review 1.  The Matter Simulation (R)evolution.

Authors:  Alán Aspuru-Guzik; Roland Lindh; Markus Reiher
Journal:  ACS Cent Sci       Date:  2018-02-06       Impact factor: 14.553

2.  Semiempirical Quantum-Chemical Methods with Orthogonalization and Dispersion Corrections.

Authors:  Pavlo O Dral; Xin Wu; Walter Thiel
Journal:  J Chem Theory Comput       Date:  2019-02-27       Impact factor: 6.006

3.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

  3 in total

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