World's Best Scientists 2026 revealed!
Tucker Carrington

Tucker Carrington

D-Index & Metrics

Chemistry

D-Index
70
Citations
15619
World Ranking
5936
National Ranking
150

Research.com Recognitions

  • 2007 - Fellow of American Physical Society (APS) Citation For the development and application of new iterative tools for solving the timeindependent Schrödinger equation

Overview

Tucker Carrington is affiliated with Queen's University in Canada and has a research focus that spans physics, chemistry, and related interdisciplinary fields. Their work primarily addresses atomic and molecular physics, optics, and spectroscopy, with significant contributions to computational methods in chemical physics.

Their research covers various key topics including advanced chemical physics studies, spectroscopy and laser applications, spectroscopy and quantum chemical studies, advanced NMR techniques and applications, atmospheric ozone and climate, machine learning in materials science, and broader scientific research and discoveries.

The scientist has published extensively in several notable venues. Frequent publication outlets include:

  • The Journal of Chemical Physics
  • Physical Chemistry Chemical Physics
  • Journal of Molecular Spectroscopy
  • arXiv (Cornell University)
  • Chemical Reviews

Their notable recent papers include:

  • Using collocation to study the vibrational dynamics of molecules, 2020, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
  • A rectangular collocation multi-configuration time-dependent Hartree (MCTDH) approach with time-independent points for calculations on general potential energy surfaces, 2021, The Journal of Chemical Physics
  • Computing excited OH stretch states of water dimer in 12D using contracted intermolecular and intramolecular basis functions, 2023, The Journal of Chemical Physics
  • Neural Network Potential Energy Surfaces for Small Molecules and Reactions, 2020, Chemical Reviews
  • Roadmap on Machine learning in electronic structure, 2022, Electronic Structure

The scientist has collaborated frequently with several researchers, including:

  • Xiaogang Wang
  • Sergei Manzhos
  • Manabu Ihara
  • Robert Wodraszka
  • Sangeeth Das Kallullathil

Their work has intersected multiple disciplines, reflecting a strong integration of theoretical and computational approaches to solving problems related to molecular vibrations, potential energy surfaces, and applications of machine learning in electronic structure calculations.

Tucker Carrington was recognized with the Fellow of American Physical Society (APS) award in 2007. The citation for this award highlighted their development and application of new iterative tools for solving the time-independent Schrödinger equation.

Best Publications

  • Discrete‐Variable Representations and their Utilization

    John C. Light;Tucker Carrington

  • Variational quantum approaches for computing vibrational energies of polyatomic molecules

    Joel M Bowman;Tucker Carrington;Hans-Dieter Meyer

  • A general discrete variable method to calculate vibrational energy levels of three‐ and four‐atom molecules

    Matthew J. Bramley;Tucker Carrington

  • The discrete variable representation of a triatomic Hamiltonian in bond length–bond angle coordinates

    Hua Wei;Tucker Carrington

  • Neural Network Potential Energy Surfaces for Small Molecules and Reactions

    Sergei Manzhos;Tucker Carrington

  • Reaction surface description of intramolecular hydrogen atom transfer in malonaldehyde

    Tucker Carrington;William H. Miller

  • A random-sampling high dimensional model representation neural network for building potential energy surfaces.

    Sergei Manzhos;Tucker Carrington

  • Angular Momentum Distribution and Emission Spectrum of OH (2Σ+) in the Photodissociation of H2O

    Tucker Carrington

  • Fermi resonances and local modes in water, hydrogen sulfide, and hydrogen selenide

    Lauri Halonen;Tucker Carrington

  • Efficient calculation of highly excited vibrational energy levels of floppy molecules: The band origins of H+3 up to 35 000 cm−1

    Matthew J. Bramley;John W. Tromp;Tucker Carrington;Gregory C. Corey

  • Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy

    Aditya Kamath;Rodrigo A. Vargas-Hernández;Roman V. Krems;Tucker Carrington

  • Neural network‐based approaches for building high dimensional and quantum dynamics‐friendly potential energy surfaces

    Sergei Manzhos;Richard Dawes;Tucker Carrington

  • A nested molecule-independent neural network approach for high-quality potential fits.

    Sergei Manzhos;Xiaogang Wang;Richard Dawes;Tucker Carrington

  • Vibrational energy levels of CH5(

    Xiao-Gang Wang;Tucker Carrington

  • Vinylidene: Potential energy surface and unimolecular reaction dynamics

    Tucker Carrington;Lynn M. Hubbard;Henry F. Schaefer;William H. Miller

  • A contracted basis-Lanczos calculation of vibrational levels of methane: Solving the Schrödinger equation in nine dimensions

    Xiao-Gang Wang;Tucker Carrington

  • Using neural networks to represent potential surfaces as sums of products.

    Sergei Manzhos;Tucker Carrington

  • Rotational, Vibrational, and Electronic Energy Transfer in the Fluorescence of Nitric Oxide

    H. P. Broida;Tucker Carrington

  • Using nonproduct quadrature grids to solve the vibrational Schrödinger equation in 12D.

    Gustavo Avila;Tucker Carrington

  • Using a pruned basis, a non-product quadrature grid, and the exact Watson normal-coordinate kinetic energy operator to solve the vibrational Schrödinger equation for C2H4.

    Gustavo Avila;Tucker Carrington

  • Reaction Surface Description of Intramolecular Hydrogen Atom Transfer in Malonaldehyde

    T. Jun. Carrington;W. H. Miller

Frequent Co-Authors

Koichi Yamashita
Koichi Yamashita University of Tokyo
Hua Guo
Hua Guo University of New Mexico
R. Benny Gerber
R. Benny Gerber Hebrew University of Jerusalem
A. R. W. McKellar
A. R. W. McKellar National Academies of Sciences, Engineering, and Medicine
Martin Quack
Martin Quack ETH Zurich
Norman Davidson
Norman Davidson California Institute of Technology
Henry F. Schaefer
Henry F. Schaefer University of Georgia
Francesco Paesani
Francesco Paesani University of California, San Diego
Hans Lischka
Hans Lischka Texas Tech University
Oleg V. Prezhdo
Oleg V. Prezhdo University of Southern California

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Chemistry opens doors to diverse career paths, many of which can be complemented by related online programs. For example, understanding the financial commitment is essential, as seen in discussions about how much does a criminal justice degree cost. This insight can help prospective students budget their education across different fields, including science.

Students interested in broadening their expertise might explore an accredited online criminal justice associate degree. Such programs offer foundational skills that complement analytical thinking, a key component in Chemistry careers.

Additionally, specialized certificates like a paralegal certificate provide versatile options for those looking to enter legal aspects of scientific industries, such as patent law or regulatory compliance.

On the career front, roles such as pharmaceutical sales representatives showcase how Chemistry knowledge translates into lucrative opportunities. Understanding how much do pharmaceutical sales reps make can help guide students toward well-paying positions that blend science with business skills.

Best Scientists Citing Tucker Carrington

Trending Scientists

Recently Published Articles