John Herbert
Ohio State University · Biochemistry
Active 1984–2024
About
John Herbert is a professor in the Department of Chemistry and Biochemistry at The Ohio State University. He received B.S. degrees in chemistry and mathematics from Kansas State University in 1998, where he was a Barry M. Goldwater Scholar. He earned his Ph.D. in physical chemistry from the University of Wisconsin-Madison in 2003, where he was a National Defense Science and Engineering Graduate Fellow working with John Harriman. Following his doctoral studies, he conducted postdoctoral research with Anne McCoy at Ohio State and with Martin Head-Gordon at the University of California-Berkeley, where he was a National Science Foundation Mathematical Sciences Postdoctoral Fellow. He joined the Ohio State faculty in 2006. Professor Herbert has received numerous awards, including a CAREER award from the National Science Foundation, a Presidential Early Career Award for Scientists and Engineers (PECASE), an Alfred P. Sloan Foundation Research Fellowship, the Camille Dreyfus Teacher-Scholar Award, and the ACS Outstanding Junior Faculty Award in Computational Chemistry, among others. His research group develops and applies new electronic structure models and algorithms aimed at improving the accuracy and reducing the computational cost of quantum chemistry calculations. His work focuses on the behavior of electrons and holes in condensed-phase environments, especially excited states, and he is a principal developer of the Q-Chem software package for electronic structure calculations.
Research topics
- Computer Science
- Parallel computing
- Physics
- Chemistry
- Computational science
- Computational chemistry
- Materials science
- Physical chemistry
- Theoretical computer science
- Programming language
- Condensed matter physics
- Engineering physics
- Computer graphics (images)
Selected publications
Roadmap on electronic structure codes in the exascale era
Modelling and Simulation in Materials Science and Engineering · 2023 · 72 citations
- Computer Science
- Materials science
- Engineering physics
Abstract Electronic structure calculations have been instrumental in providing many important insights into a range of physical and chemical properties of various molecular and solid-state systems. Their importance to various fields, including materials science, chemical sciences, computational chemistry, and device physics, is underscored by the large fraction of available public supercomputing resources devoted to these calculations. As we enter the exascale era, exciting new opportunities to increase simulation numbers, sizes, and accuracies present themselves. In order to realize these promises, the community of electronic structure software developers will however first have to tackle a number of challenges pertaining to the efficient use of new architectures that will rely heavily on massive parallelism and hardware accelerators. This roadmap provides a broad overview of the state-of-the-art in electronic structure calculations and of the various new directions being pursued by the community. It covers 14 electronic structure codes, presenting their current status, their development priorities over the next five years, and their plans towards tackling the challenges and leveraging the opportunities presented by the advent of exascale computing.
Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package
The Journal of Chemical Physics · 2021 · 1305 citations
- Computer Science
- Computer Science
- Computational science
This article summarizes technical advances contained in the fifth major release of the Q-Chem quantum chemistry program package, covering developments since 2015. A comprehensive library of exchange-correlation functionals, along with a suite of correlated many-body methods, continues to be a hallmark of the Q-Chem software. The many-body methods include novel variants of both coupled-cluster and configuration-interaction approaches along with methods based on the algebraic diagrammatic construction and variational reduced density-matrix methods. Methods highlighted in Q-Chem 5 include a suite of tools for modeling core-level spectroscopy, methods for describing metastable resonances, methods for computing vibronic spectra, the nuclear-electronic orbital method, and several different energy decomposition analysis techniques. High-performance capabilities including multithreaded parallelism and support for calculations on graphics processing units are described. Q-Chem boasts a community of well over 100 active academic developers, and the continuing evolution of the software is supported by an "open teamware" model and an increasingly modular design.
Recent grants
Quantum simulations of electron dynamics in aqueous systems
NSF · $450k · 2017–2021
Quantum Chemistry Methods for Excited States at Liquid- and Solid-State Interfaces
NSF · $507k · 2020–2025
NSF · $625k · 2008–2013
PostDoctoral Research Fellowship
NSF · $108k · 2004–2008
Wavefunction Embedding: A Toolbox for Transition Metal Spectroscopy
NSF · $509k · 2024–2027
Frequent coauthors
- 30 shared
Christopher F. Williams
University of Southern California
- 30 shared
George J. Ellames
University of Surrey
- 29 shared
Anna I. Krylov
University of Southern California
- 28 shared
Lyudmila V. Slipchenko
Purdue University West Lafayette
- 27 shared
Dmytro Kosenkov
Monmouth University
- 26 shared
Debashree Ghosh
Indian Association for the Cultivation of Science
- 26 shared
Martin Head‐Gordon
Lawrence Berkeley National Laboratory
- 26 shared
Kevin Carter-Fenk
University of California, Berkeley
Education
- 2003
PhD, Chemistry
University of Wisconsin
- 1999
B.Sc., Chemistry, Mathematics
Kansas State University
Awards & honors
- CAREER award from the National Science Foundation
- Presidential Early Career Award for Scientists and Engineers…
- Alfred P. Sloan Foundation Research Fellowship
- Camille Dreyfus Teacher-Scholar Award
- ACS Outstanding Junior Faculty Award in Computational Chemis…
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