
About
Welcome to the McCoy group website where you can learn about the fun we have studying anharmonicity and large amplitude motion! Have a look at Anne’s research, learn a little bit about her and the rest of the group, catch up on the group’s news and recent publications, and be sure to check out the group’s photo page. To learn more about the methods we use, check out our References page on the group GitHub, as well as the Python packages group members have developed for these methods.
Research topics
- Physics
- Mathematics
- Computer Science
- Artificial Intelligence
- Geometry
- Biochemical engineering
- Crystallography
- Nanotechnology
- Engineering
- Materials science
Selected publications
Computational molecular spectroscopy
Nature Reviews Methods Primers · 2021 · 408 citations
A flexible approach to vibrational perturbation theory using sparse matrix methods
The Journal of Chemical Physics · 2022 · 29 citations
Senior authorCorresponding. It is found that while the transition frequencies and intensities are independent of coordinate choice, a good choice of coordinates leads to a cleaner interpretation of the origins of the anharmonicities in these systems.
The Journal of Physical Chemistry A · 2020 · 20 citations
O is introduced without isotopic scrambling, an important advantage afforded by the cluster regime. The resulting patterns provide an unprecedented picture of the intrinsic line shapes and spectral complexities associated with excitation of the individual OH groups, as well as the correlation between the frequencies of the two OH groups on the same water molecule, as a function of network site. The properties of the surrounding water network that govern this frequency map are evaluated by dissec…
The Journal of Physical Chemistry A · 2025-03-19 · 4 citations
articleSenior authorCorrespondingAn approach for obtaining high-level ab initio potential surfaces is described. The approach takes advantage of machine learning strategies in a two-step process. In the first, the molecular-orbital based machine learning (MOB-ML) model uses Gaussian process regression to learn the correlation energy at the CCSD(T) level using the molecular orbitals obtained from Hartree–Fock calculations. In this work, the MOB-ML approach is expanded to use orbitals obtained using a smaller basis set, aug-cc-pV…
The Journal of Physical Chemistry A · 2024-11-15 · 4 citations
articleOpen accessCorrespondingThe pKa’s of acids are known to depend on the ionic strength of an electrolyte solution, an effect that qualitatively results from electrostatic interactions of the acid and conjugate base with proximal ions. Here, we explore an intramolecular variation on this theme in which a carboxylic acid group is tethered to a pyridinium cationic charge center with increasingly long alkyl linkages in the series Py+-(CH2)n-COOH, with n = 1–7. The effective acidities of the carboxylic acid group in the isola…
Recent grants
Theoretical Studies of Spectral Signatures of Large Amplitude Vibrational Motions
NSF · $500k · 2019–2023
NSF · $415k · 2016–2019
Exploring Spectral Signatures of Molecular Vibrations
NSF · $510k · 2022–2026
Frequent coauthors
- 105 shared
Joan‐Emma Shea
University of California, Santa Barbara
- 96 shared
Sharon Hammes‐Schiffer
Yale University
- 91 shared
Gregory D. Scholes
Princeton University
- 89 shared
Martin T. Zanni
University of Wisconsin–Madison
- 88 shared
Prashant V. Kamat
University of Notre Dame
- 87 shared
Scott J. Miller
NextFlex
- 86 shared
Gustavo E. Scuseria
Rice University
- 85 shared
David L. Kaplan
Tufts University
Labs
Awards & honors
- Fellow of the American Physical Society (2007)
- Fellow of the American Chemical Society (2009)
- Fellow of the American Association for the Advancement of Sc…
- Elected to the Washington State Academy of Sciences (2019)
- Herschbach Medal (2025)
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