Matthew C. Kuner

Lawrence Berkeley National Laboratory — United States

Materials Science · Physical Sciences

6h-index442citations12works20.32yr avg
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Research Topics

Machine Learning in Materials Science(6), Scientific Computing and Data Management(3), Microstructure and Mechanical Properties of Steels(1), Chalcogenide Semiconductor Thin Films(1), High-Temperature Coating Behaviors(1)

Publications12 total

MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials
npj Computational Materials·2025· 4 citedOpen Access
A foundation model for atomistic materials chemistry
The Journal of Chemical Physics·2025· 65 citedOpen Access
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
arXiv (Cornell University)·2025Open Access
MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials
arXiv (Cornell University)·2025Open Access
Accelerated data-driven materials science with the Materials Project
Nature Materials·2025· 85 citedOpen Access
Atomate2: Modular workflows for materials science
2025· 8 citedOpen Access
Atomate2: modular workflows for materials science
Digital Discovery·2025· 19 citedOpen Access
Correction: Atomate2: modular workflows for materials science
Digital Discovery·2025Open Access
Ab initio property predictions of quinary solid solutions using small binary cells
Computational Materials Science·2024· 2 citedOpen Access
A foundation model for atomistic materials chemistry
arXiv (Cornell University)·2023· 229 citedOpen Access
ASMADA—A tool for automatic analysis of shape memory alloy thermal cycling data under constant stress
Smart Materials and Structures·2021· 5 cited
Quantitatively accounting for the effects of surface topography on the oxidation kinetics of additive manufactured Hastelloy X processed by electron beam melting
Additive manufacturing·2020· 25 citedOpen Access

Frequent Co-authors

Mark Asta(10), Aaron D. Kaplan(8), Kristin A. Persson(8), D. C. Chrzan(8), Yuan Chiang(6), Janosh Riebesell(6), Janine George(6), Andrew Rosen(6), Rhys E. A. Goodall(5), Aakash Ashok Naik(5), Matthew K. Horton(4), Alex M. Ganose(4), Ryan Kingsbury(4), Mingjian Wen(4), Matthew J. McDermott(4), Gian‐Marco Rignanese(4), Guido Petretto(4), David Waroquiers(4), Jeffrey B. Neaton(4), Geoffroy Hautier(4)