Literature DB >> 25854218

Perspective: Insight into reaction coordinates and dynamics from the potential energy landscape.

D J Wales1.   

Abstract

This perspective focuses on conceptual and computational aspects of the potential energy landscape framework. It has two objectives: first to summarise some key developments of the approach and second to illustrate how such techniques can be applied using a specific example that exploits knowledge of pathways. Recent developments in theory and simulation within the landscape framework are first outlined, including methods for structure prediction, analysis of global thermodynamic properties, and treatment of rare event dynamics. We then develop a connection between the kinetic transition network treatment of dynamics and a potential of mean force defined by a reaction coordinate. The effect of projection from the full configuration space to low dimensionality is illustrated for an atomic cluster. In this example, where a relatively successful structural order parameter is available, the principal change in cluster morphology is reproduced, but some details are not faithfully represented. In contrast, a profile based on configurations that correspond to the discrete path defined geometrically retains all the barriers and minima. This comparison provides insight into the physical origins of "friction" effects in low-dimensionality descriptions of dynamics based upon a reaction coordinate.

Year:  2015        PMID: 25854218     DOI: 10.1063/1.4916307

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  8 in total

Review 1.  Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

Authors:  Paraskevi Gkeka; Gabriel Stoltz; Amir Barati Farimani; Zineb Belkacemi; Michele Ceriotti; John D Chodera; Aaron R Dinner; Andrew L Ferguson; Jean-Bernard Maillet; Hervé Minoux; Christine Peter; Fabio Pietrucci; Ana Silveira; Alexandre Tkatchenko; Zofia Trstanova; Rafal Wiewiora; Tony Lelièvre
Journal:  J Chem Theory Comput       Date:  2020-07-16       Impact factor: 6.006

2.  Anomalous properties in the potential energy landscape of a monatomic liquid across the liquid-gas and liquid-liquid phase transitions.

Authors:  Yang Zhou; Gustavo E Lopez; Nicolas Giovambattista
Journal:  J Chem Phys       Date:  2022-09-28       Impact factor: 4.304

3.  A spin-1 representation for dual-funnel energy landscapes.

Authors:  Justin E Elenewski; Kirill A Velizhanin; Michael Zwolak
Journal:  J Chem Phys       Date:  2018-07-21       Impact factor: 3.488

4.  Implementation and performance of the artificial force induced reaction method in the GRRM17 program.

Authors:  Satoshi Maeda; Yu Harabuchi; Makito Takagi; Kenichiro Saita; Kimichi Suzuki; Tomoya Ichino; Yosuke Sumiya; Kanami Sugiyama; Yuriko Ono
Journal:  J Comput Chem       Date:  2017-11-14       Impact factor: 3.376

Review 5.  A Trajectory-Based Method to Explore Reaction Mechanisms.

Authors:  Saulo A Vázquez; Xose L Otero; Emilio Martinez-Nunez
Journal:  Molecules       Date:  2018-11-30       Impact factor: 4.411

6.  Topology, landscapes, and biomolecular energy transport.

Authors:  Justin E Elenewski; Kirill A Velizhanin; Michael Zwolak
Journal:  Nat Commun       Date:  2019-10-11       Impact factor: 14.919

7.  Energy Landscapes for Base-Flipping in a Model DNA Duplex.

Authors:  Debayan Chakraborty; David J Wales
Journal:  J Phys Chem B       Date:  2022-04-15       Impact factor: 2.991

8.  Exploring Valleys without Climbing Every Peak: More Efficient and Forgiving Metabasin Metadynamics via Robust On-the-Fly Bias Domain Restriction.

Authors:  James F Dama; Glen M Hocky; Rui Sun; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2015-11-20       Impact factor: 6.006

  8 in total

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