World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
9385
World Ranking
3880
National Ranking
1129

Overview

John M. Gregoire is affiliated with the California Institute of Technology in the United States. Their research primarily focuses on materials science and energy, with significant contributions to materials chemistry and renewable energy, sustainability, and the environment.

Their work spans various subfields, including electrical and electronic engineering, catalysis, and information systems and management. Gregoire's research topics include:

  • Machine learning in materials science
  • Electrocatalysts for energy conversion
  • Advanced photocatalysis techniques
  • Electronic and structural properties of oxides
  • X-ray diffraction in crystallography
  • CO2 reduction techniques and catalysts
  • Copper-based nanomaterials and applications

Gregoire has published frequently in several key scientific venues, reflecting their interdisciplinary focus. These publication venues include:

  • Digital Discovery
  • arXiv (Cornell University)
  • ACS Energy Letters
  • Matter
  • Journal of Materials Chemistry A

Among the recent publications by Gregoire are notable contributions such as:

  • "Autonomous experimentation systems for materials development: A community perspective" (2021, Matter)
  • "Analysis of the limitations in the oxygen reduction activity of transition metal oxide surfaces" (2021, Nature Catalysis)
  • "High-throughput, combinatorial synthesis of multimetallic nanoclusters" (2020, Proceedings of the National Academy of Sciences)
  • "Benchmarking the acceleration of materials discovery by sequential learning" (2020, Chemical Science)
  • "The 2022 solar fuels roadmap" (2022, Journal of Physics D Applied Physics)

Frequent collaborators in Gregoire's research include Dan Guevarra, Lan Zhou, Joel A. Haber, Yungchieh Lai, and Kevin Kan. These coauthors have worked with Gregoire on a considerable number of publications, contributing to the breadth of research output.

Best Publications

  • Lithium-Assisted Plastic Deformation of Silicon Electrodes in Lithium-Ion Batteries: A First-Principles Theoretical Study

    Kejie Zhao;Wei L. Wang;John Gregoire;Matt Pharr

  • Inverse Design of Solid-State Materials via a Continuous Representation

    Juhwan Noh;Jaehoon Kim;Helge S. Stein;Benjamin Sanchez-Lengeling

  • The 2019 materials by design roadmap

    Kirstin Alberi;Marco Buongiorno Nardelli;Andriy Zakutayev;Lubos Mitas

  • The evolution of the polycrystalline copper surface, first to Cu(111) and then to Cu(100), at a fixed CO₂RR potential: a study by operando EC-STM.

    Youn-Geun Kim;Jack Hess Baricuatro;Alnald Javier;John Mathew Gregoire

  • Autonomous experimentation systems for materials development: A community perspective

    Eric Stach;Brian DeCost;A. Gilad Kusne;A. Gilad Kusne;Jason Hattrick-Simpers

  • Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

    M. L. Green;C. L. Choi;J. R. Hattrick-Simpers;A. M. Joshi

  • Analysis of the limitations in the oxygen reduction activity of transition metal oxide surfaces

    Hao Li;Sara Kelly;Dan Guevarra;Zhenbin Wang

  • Electrochemical Stability of Metastable Materials

    Arunima K. Singh;Lan Zhou;Aniketa Shinde;Santosh K. Suram

  • High-throughput, combinatorial synthesis of multimetallic nanoclusters

    Yonggang Yao;Zhennan Huang;Tangyuan Li;Hang Wang

  • Progress and prospects for accelerating materials science with automated and autonomous workflows

    Helge S Stein;John M Gregoire

  • Solar fuels photoanode materials discovery by integrating high-throughput theory and experiment.

    Qimin Yan;Jie Yu;Santosh K. Suram;Lan Zhou

  • An Operando Investigation of (Ni–Fe–Co–Ce)Ox System as Highly Efficient Electrocatalyst for Oxygen Evolution Reaction

    Marco Favaro;Walter S. Drisdell;Matthew A. Marcus;John M. Gregoire

  • Discovering Ce-rich oxygen evolution catalysts, from high throughput screening to water electrolysis

    Joel A. Haber;Yun Cai;Suho Jung;Chengxiang Xiang

  • Robust and synthesizable photocatalysts for CO2 reduction: a data-driven materials discovery.

    Arunima K. Singh;Joseph H. Montoya;John M. Gregoire;Kristin A. Persson;Kristin A. Persson

  • High Throughput Light Absorber Discovery, Part 1: An Algorithm for Automated Tauc Analysis.

    Santosh K. Suram;Paul F. Newhouse;John M. Gregoire

  • The 2022 solar fuels roadmap

    Unknown

  • Scanning droplet cell for high throughput electrochemical and photoelectrochemical measurements

    John M. Gregoire;Chengxiang Xiang;Xiaonao Liu;Martin Marcin

  • Benchmarking the acceleration of materials discovery by sequential learning.

    Brian Rohr;Helge S. Stein;Dan Guevarra;Yu Wang

  • Rutile Alloys in the Mn-Sb-O System Stabilize Mn3+ to Enable Oxygen Evolution in Strong Acid

    Lan Zhou;Aniketa Shinde;Joseph H. Montoya;Arunima Singh

  • Machine learning of optical properties of materials – predicting spectra from images and images from spectra

    Helge S. Stein;Dan Guevarra;Paul F. Newhouse;Edwin Soedarmadji

  • Perspective: Composition–structure–property mapping in high-throughput experiments: Turning data into knowledge

    Jason R. Hattrick-Simpers;John M. Gregoire;A. Gilad Kusne;A. Gilad Kusne

Frequent Co-Authors

Carla P. Gomes
Carla P. Gomes Cornell University
Jeffrey B. Neaton
Jeffrey B. Neaton University of California, Berkeley
Kristin A. Persson
Kristin A. Persson Lawrence Berkeley National Laboratory
Chengxiang Xiang
Chengxiang Xiang California Institute of Technology
Francis J. DiSalvo
Francis J. DiSalvo Cornell University
Héctor D. Abruña
Héctor D. Abruña Cornell University
Francesca M. Toma
Francesca M. Toma Lawrence Berkeley National Laboratory
Bart Selman
Bart Selman Cornell University
Thomas F. Jaramillo
Thomas F. Jaramillo Stanford University
Junko Yano
Junko Yano Lawrence Berkeley National Laboratory

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