Cameron J. Owen

Cameron J. Owen, Ph.D.

Computational chemist and materials scientist

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About Me

My expertise lies at the intersection of chemistry, physics, and machine-learning. I care about the science and technology that empowers humans to live more fulfilling lives. With extensive experience in computational materials science and a strong foundation in machine learning methods, I develop and apply novel approaches to solve complex materials challenges that can transform industries and human experiences.

Scientific Highlights

Surface roughening in nanoparticle catalysts

Sept. 2024 - This work challenged the assumed surface structures of nanocatalysts using machine learned force fields.

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Atomistic evolution of active sites

Sept. 2024 - We provide a multi-tier machine learning approach that can directly probe activity, selectivity, and deactivation mechanisms of bimetallic catalysts.

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Gold surface reconstructions

May 2024 - Enabled large-scale molecular dynamics simulations to describe the thermodynamics and time evolution of gold surfaces.

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Emergent dislocation dynamics

Jan. 2024 - Provided in silico access to defect dynamics in metallurgically relevant systems.

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Active learning of machine learned force fields

Sept. 2022 - Automated selection of reaction events and diverse data using Gaussian Processes.

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Micron-scale reactive dynamics

Apr. 2022 - Acheived quantum-mechanically accurate reactive molecular dynamics at the scale of 0.5 trillion atoms.

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Scientific Publications

Visit my Google Scholar for a complete list of publications.

Technical Expertise

Machine Learned Force Fields

  • FLARE (Gaussian Process regression)
  • Allegro (PyTorch-based graph neural network)
  • NequIP (message-passing graph neural network)
  • MACE (message-passing graph neural network)
  • MatterSim
  • ORB

Density Functional Theory & Quantum Chemistry Codes

  • VASP
  • Quantum Espresso
  • CASTEP
  • Gaussian
  • GPAW

Atomistic Simulation and Cheminformatics Software

  • Atomic Simulation Environment (ASE)
  • LAMMPS
  • Pymatgen
  • Materials Project API
  • Ovito API
  • Blender
  • GaussView
  • Jmol

Large Language Models and Hosting Services

  • ChatGPT
  • Claude & Claude Code API
  • Gemini
  • Perplexity
  • Hugging Face

Cloud Computing, Data Storage, and Workload Managers

  • Google Cloud Platform
  • Amazon Web Services
  • Oracle Cloud
  • DigitalOcean
  • Rackspace
  • Rune - Energy
  • Cloudflare (r2 storage)
  • rsync.net
  • SkyPilot
  • dstack
  • Weights & Biases

Programming Languages, Database and ML Frameworks/Packages

  • Python
  • Bash
  • Git
  • HTML
  • TeX & LaTeX
  • Fortran
  • PyTorch
  • scikit-learn
  • JSON

Education & Experience

Mirian Technologies
Technical Co-Founder
2024-2025
Harvard University
Postdoctoral Research Fellow, Materials Intelligence Research Group
2024-2024
Harvard University
Ph.D. in Chemistry, Materials Intelligence Research Group
2020-2024
University of Cambridge
MPhil in Chemistry, Surface Science Group
2019-2020
Micron Technology
Metrology Process Development Intern
2019-2019
University of Utah
Honors B.S. in Chemistry, B.S. in Physics, Math minor, Cum Laude
2015-2019
University of Utah
Undergraduate research fellow in the Armentrout Research Group
2015-2019

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Invited Talks

Professional Responsibilities

Personal Interests

Beyond my research, I'm an avid mountain biker and travel enthusiast, always seeking new experiences that broaden my perspective.

Contact & Socials

📧 E-Mail: echo "moc.liamg@009newomac" | rev
🐦 Twitter/X: @cameron_cowen
🌥️ Bluesky: @cjo1.bsky.social