Chemical promenades: Exploring potential-energy surfaces with immersive virtual reality.

atom diatom reactions immersive virtual reality potential energy surface ring puckering motions

Journal

Journal of computational chemistry
ISSN: 1096-987X
Titre abrégé: J Comput Chem
Pays: United States
ID NLM: 9878362

Informations de publication

Date de publication:
15 May 2020
Historique:
received: 11 11 2019
revised: 16 01 2020
accepted: 03 02 2020
pubmed: 15 2 2020
medline: 15 2 2020
entrez: 15 2 2020
Statut: ppublish

Résumé

The virtual-reality framework AVATAR (Advanced Virtual Approach to Topological Analysis of Reactivity) for the immersive exploration of potential-energy landscapes is presented. AVATAR is based on modern consumer-grade virtual-reality technology and builds on two key concepts: (a) the reduction of the dimensionality of the potential-energy surface to two process-tailored, physically meaningful generalized coordinates, and (b) the analogy between the evolution of a chemical process and a pathway through valleys (potential wells) and mountain passes (saddle points) of the associated potential energy landscape. Examples including the discovery of competitive reaction paths in simple A + BC collisional systems and the interconversion between conformers in ring-puckering motions of flexible rings highlight the innovation potential that augmented and virtual reality convey for teaching, training, and supporting research in chemistry.

Identifiants

pubmed: 32058615
doi: 10.1002/jcc.26172
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1310-1323

Subventions

Organisme : Scuola Normale Superiore
ID : SNS18_B_RAMPINO
Organisme : Scuola Normale Superiore
ID : SNS_RB_RAMPINO

Informations de copyright

© 2020 Wiley Periodicals, Inc.

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Auteurs

Marta Martino (M)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Andrea Salvadori (A)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Federico Lazzari (F)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Lorenzo Paoloni (L)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Surajit Nandi (S)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Giordano Mancini (G)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Vincenzo Barone (V)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Sergio Rampino (S)

SMART Laboratory, Scuola Normale Superiore, Pisa, Italy.

Classifications MeSH