Barry K Carpenter

Years Active: 2017-2023
Publications (10 Years): 8

Cardiff University

University of Warwick (BSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Cardiff University Oct 01 2006

United Kingdom

Professor :: Chemistry

Cornell University Jul 01 1985 - Sep 30 2006

United States

Professor :: Chemistry

Cornell University Jul 01 1981 - Jun 30 1985

United States

Associate Professor :: Chemistry

Cornell University Jul 01 1975 - Jun 30 1981

United States

Assistant Professor :: Chemistry

Education History

University of Warwick Oct 01 1967 - Jul 01 1970

United Kingdom

BSC :: Chemistry

Publications

Barry K Carpenter
Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case. The journal of physical chemistry. A (2023)
Barry K Carpenter
Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case. The journal of physical chemistry. A 127 (1) (2023)
Barry K Carpenter
Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case. The journal of physical chemistry. A 127 (1) (2023)
Barry K Carpenter
Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case. The journal of physical chemistry. A 127 (1) (2023)
Barry K Carpenter
Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case. The journal of physical chemistry. A 127 (1) (2023)
Barry K Carpenter, G Barney Ellison, Mark R Nimlos, Adam M Scheer
A Conical Intersection Influences the Ground State Rearrangement of Fulvene to Benzene. The journal of physical chemistry. A 126 (8) (2022)
Stephanie R Hare, Lars A Bratholm, David R Glowacki, Barry K Carpenter
Low dimensional representations along intrinsic reaction coordinates and molecular dynamics trajectories using interatomic distance matrices. Chemical science 10 (43) (2019)
Barry K Carpenter, Gregory S Ezra, Stavros C Farantos, Zeb C Kramer, Stephen Wiggins
Empirical Classification of Trajectory Data: An Opportunity for the Use of Machine Learning in Molecular Dynamics. The journal of physical chemistry. B 122 (13) (2017)

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