Resume-aware faculty matching

Find professors who actually fit you

Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.

Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
John Herbert

John Herbert

Ohio State University · Biochemistry

Active 1984–2024

h-index62
Citations16.9k
Papers346116 last 5y
Funding$2.6M1 active
See your match with John Herbert — sign in to PhdFit.Sign in

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

Frequent coauthors

  • Christopher F. Williams

    University of Southern California

    30 shared
  • George J. Ellames

    University of Surrey

    30 shared
  • Anna I. Krylov

    University of Southern California

    29 shared
  • Lyudmila V. Slipchenko

    Purdue University West Lafayette

    28 shared
  • Dmytro Kosenkov

    Monmouth University

    27 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

    26 shared

Education

  • PhD, Chemistry

    University of Wisconsin

    2003
  • B.Sc., Chemistry, Mathematics

    Kansas State University

    1999

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…

Similar researchers at Ohio State University

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with John Herbert

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup