Joseph H. Montoya

Toyota Motor Corporation (Switzerland) — Switzerland

Materials Science · Physical Sciences

40h-index13.8kcitations99works2.62yr avg
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Research Topics

Machine Learning in Materials Science(51), Electrocatalysts for Energy Conversion(33), Electronic and Structural Properties of Oxides(17), X-ray Diffraction in Crystallography(16), Fuel Cells and Related Materials(13)

Publications99 total

Calibrating Thermodynamic Models to Experimental Conditions for Accurate Solid State Synthesis Prediction
ECS Meeting Abstracts·2025
Biomimetic Materials: Geopolymer-based Concrete, Inspired By The Properties Of Spider Silk.
2025
Accelerating the Pace of Oxygen Evolution Reaction Catalyst Discovery through Megalibraries
Journal of the American Chemical Society·2025· 4 citedOpen Access
Asymptotic Reasoning With Two Variables
Lecture notes in computer science·2025
Relative Densities of Formal Languages
Lecture notes in computer science·2025
UniMat: Unifying Materials Embeddings through Multi-modal Learning
arXiv (Cornell University)·2024Open Access
An electrochemical series for materials
Proceedings of the National Academy of Sciences·2024· 1 citedOpen Access
matbench-genmetrics: A Python library for benchmarkingcrystal structure generative models using time-based splits of MaterialsProject structures
The Journal of Open Source Software·2024· 5 citedOpen Access
An Electrochemical Series for Materials
2024· 1 citedOpen Access
An Electrochemical Series for Materials
2024· 1 citedOpen Access
How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science
Chemical Science·2024· 17 citedOpen Access
An Electrochemical Series for Materials
2023· 2 citedOpen Access
The Role of Reference Points in Machine-Learned Atomistic Simulation Models
arXiv (Cornell University)·2023Open Access
GMP-Featurizer: A parallelized Python package forefficiently computing the Gaussian Multipole features of atomicsystems
The Journal of Open Source Software·2023· 2 citedOpen Access
Materials cartography: A forward-looking perspective on materials representation and devising better maps
APL Machine Learning·2023· 11 citedOpen Access
Computer-assisted discovery and rational synthesis of ternary oxides
2023· 4 citedOpen Access
Strategies for Modulating the Catalytic Activity and Selectivity of Manganese Antimonates for the Oxygen Reduction Reaction
ACS Catalysis·2022· 17 cited
Solving inorganic crystal structures from X-ray powder diffraction using a generative first-principles framework
Computational Materials Science·2022· 12 citedOpen Access
Novel inorganic crystal structures predicted using autonomous simulation agents
Scientific Data·2022· 28 citedOpen Access
Agents for sequential learning using multiple-fidelity data
Scientific Reports·2022· 30 citedOpen Access
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Frequent Co-authors

Jens K. Nørskov(22), Kristin A. Persson(16), Muratahan Aykol(11), Santosh K. Suram(8), Aleksandra Vojvodić(7), Jens S. Hummelshøj(7), Matthew K. Horton(6), John M. Gregoire(6), Thomas F. Jaramillo(5), Charlie Tsai(5), Anubhav Jain(5), John Dagdelen(5), Shyam Dwaraknath(4), Shyue Ping Ong(4), Steven B. Torrisi(4), Linda Hung(4), Brian D. Storey(4), Colin F. Dickens(3), Andrew D. Doyle(3), Nils Zimmermann(3)