Researcher

Matthew Horton

Also known as Matthew K. Horton, Matthew Kristofer Horton, Matt Horton

Matthew Horton is a materials scientist and software engineer who helped create MatterGen, a generative AI model for designing inorganic materials with target properties. After a PhD at Imperial College London on dislocations in semiconductors for LED lighting, he moved to Berkeley in 2016 on a Lindemann Fellowship. At Lawrence Berkeley National Laboratory, he helped lead the Materials Project and was first author of Crystal Toolkit, a framework for materials science web apps. He later joined Microsoft Research AI for Science, where he was one of seven equal-contribution authors of MatterGen, published in Nature in January 2025; in May 2025, he joined the founding team of Periodic Labs. He now consults through Isotropy, LLC.

Now at
Isotropy, LLC
Works
98
Citations
4,388
h-index
35

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. By 2016

    From Imperial to Berkeley

    His PhD at Imperial College London studies dislocations in semiconductors for more energy-efficient LED lighting, and an EPSRC Doctoral Prize award lets him continue the work there. In 2016, he takes up a Lindemann Fellowship at Berkeley and researches solar energy materials at Lawrence Berkeley National Laboratory.

  2. 2019

    Predicting magnetic order at scale

    In Kristin Persson's research group at Lawrence Berkeley National Laboratory, he works on magnetocalorics and high-throughput materials discovery. In June 2019, he is first author of an automated workflow, built with the atomate code, that predicts the magnetic ground state of inorganic crystals; it correctly predicts a non-ferromagnetic ground state in 95% of 64 benchmark materials.

  3. By 2020

    Helping lead the Materials Project

    As a staff developer at Lawrence Berkeley National Laboratory, he helps lead the Materials Project, an open, academic effort to share high-quality materials data, and he also helps create matsci.org, a shared space for the computational materials science community. In September 2020, he gives a Missouri State University seminar titled "Democratizing Access to Materials Science with the Materials Project".

  4. February 2023

    The Crystal Toolkit framework

    In February 2023, he is first author, with 23 coauthors, of Crystal Toolkit, an open-source framework for building web apps that view, analyze and transform crystal structures and other materials data. Crystal Toolkit powers the Materials Project website frontend.

  5. December 2023–January 2025

    MatterGen at Microsoft Research

    After leaving Persson's group, he joins Microsoft Research AI for Science in Redmond, where he is a Senior Research SDE when the team announces MatterGen, a generative model for property-guided materials design, in December 2023. Nature publishes MatterGen in January 2025 with him among seven authors who contributed equally. Its structures are more than twice as likely to be new and stable as those of earlier generative models, and the team synthesizes one generated material whose measured property lands within 20% of its target.

  6. May 2025

    Founding team at Periodic Labs

    In May 2025, he leaves Microsoft Research AI for Science and joins Periodic Labs as a founding team member, part of the startup's eight-person stealth team. The company is announced publicly in September 2025.

  7. July 2025

    A Materials Project perspective

    In July 2025, he is first author of a Nature Materials Perspective on the Materials Project, which launched formally in 2011 and is used by more than 600,000 materials researchers. The article describes how the project's data platform and software ecosystem have shaped data-driven materials science.

  8. As of October 2026

    Consulting through Isotropy

    He is a materials scientist and software engineer who consults through Isotropy, LLC. His former employers include Periodic Labs, Microsoft Research and Berkeley Lab.

Career

  1. NowIsotropy, LLCConsultant
  2. From 2025Periodic LabsFounding team member
  3. 2023–2025MicrosoftSenior Research SDE
  4. 2014–2025Office of ScienceStaff developer
  5. 2014–2025University of California, Berkeley

Education

  1. Imperial College LondonPhD

Most-cited works

  1. A generative model for inorganic materials design2025 · Nature · 509 citationsWith Aliaksandra Shysheya, Andrew Fowler, Claudio Zeni, Daniel Zügner, Robert Pinsler and Ryota Tomioka
  2. Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows2017 · Computational Materials Science · 359 citations
  3. Accelerated data-driven materials science with the Materials Project2025 · Nature Materials · 308 citations
  4. Grain boundary properties of elemental metals2019 · Acta Materialia · 276 citations
  5. High-throughput predictions of metal–organic framework electronic properties: theoretical challenges, graph neural networks, and data exploration2022 · npj Computational Materials · 190 citations

Sources and credits

Photo: We have no published photo of Matthew Horton yet. Send us a free-licensed photo.

  1. Physics - Matthew K. Horton physics.aps.org. Checked 20 October 2026.
  2. High-throughput prediction of the ground-state collinear magnetic order of inorganic materials using Density Functional Theory | npj Computational Materials nature.com. Checked 20 October 2026.
  3. Kristin Persson's Research Group: People perssongroup.lbl.gov. Checked 20 October 2026.
  4. mkhorton (Matt Horton) · GitHub github.com. Checked 20 October 2026.
  5. PAMS Seminar: Dr. Matthew Horton "Democratizing Access to Materials Science with the Materials Project" - Calendar of Events - Missouri State University calendardeploy.missouristate.edu. Checked 20 October 2026.
  6. [2302.06147] Crystal Toolkit: A Web App Framework to Improve Usability and Accessibility of Materials Science Research Algorithms arxiv.org. Checked 20 October 2026.
  7. MatterGen: Property-guided materials design - Microsoft Research microsoft.com. Checked 20 October 2026.
  8. A generative model for inorganic materials design | Nature nature.com. Checked 20 October 2026.
  9. MatterGen: A new paradigm of materials design with generative AI - Microsoft Research microsoft.com. Checked 20 October 2026.
  10. Periodic Labs — Hiring Analysis davidtsong.com. Checked 20 October 2026.
  11. Accelerated data-driven materials science with the Materials Project | Nature Materials nature.com. Checked 20 October 2026.
  12. Matthew Horton mkhorton.net. Checked 20 October 2026.