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Matthew C. Kuner
Observed names:
Kuner, Matthew,
Kuner, Matthew C,
Kuner, Matthew C.,
Matthew C Kuner,
Matthew Kuner
Observed institutions:
Oak Ridge National Laboratory,
Lawrence Berkeley National Laboratory,
Texas A&M University,
University of California, Berkeley
ORCID:
0000-0002-8218-8558
Observed ORCID:
0000-0002-8218-8558
OpenAlex ID:
A5046354098
A foundation model for atomistic materials chemistry
2025
·
Ilyes Batatia
, Philipp Benner
, et al.
·
The Journal of Chemical Physics
·
584
PDF
Accelerated data-driven materials science with the Materials Project
2025
·
Matthew K. Horton
, Patrick Huck
, et al.
·
Nature Materials
·
306
Atomate2: modular workflows for materials science
2025
·
Alex M. Ganose
, Hrushikesh Sahasrabuddhe
, et al.
·
Digital Discovery
·
43
PDF
Quantitatively accounting for the effects of surface topography on the oxidation kinetics of additive manufactured Hastelloy X processed by electron beam melting
2020
·
Matthew C. Kuner
, Marie Romedenne
, et al.
·
Additive manufacturing
·
26
MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials
2025
·
Matthew C. Kuner
, Aaron D. Kaplan
, et al.
·
npj Computational Materials
·
11
PDF
Atomate2: Modular workflows for materials science
2025
·
Alex Ganose
, Hrushikesh Sahasrabuddhe
, et al.
·
ChemRxiv
·
8
PDF
ASMADA—A tool for automatic analysis of shape memory alloy thermal cycling data under constant stress
2021
·
Matthew C Kuner
, Anargyros A Karakalas
, et al.
·
Smart Materials and Structures
·
7
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
2025
·
Yuan Chiang
, Tobias Kreiman
, et al.
·
neural information processing systems
·
6
PDF
MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials
2025
·
Kuner, Matthew C
, Kaplan, Aaron D
, et al.
·
eScholarship (California Digital Library)
·
3
PDF
Ab initio property predictions of quinary solid solutions using small binary cells
2024
·
Matthew C. Kuner
, Eric Rothchild
, et al.
·
Computational Materials Science
·
2
Advancing Atomistic Simulations of Solid Materials via Data-Driven Approaches
2026
·
Kuner, Matthew
·
eScholarship (California Digital Library)
A foundation model for atomistic materials chemistry
2025
·
Ilyes Batatia
, Philipp Benner
, et al.
·
Newcastle University ePrints (Newcastle Univesity)
MP-ALOE: An r2SCAN dataset for universal machine learning interatomic potentials
2025
·
Kuner, Matthew C.
, Kaplan, Aaron D.
, et al.
·
arXiv (Cornell University)
PDF
Correction: Atomate2: modular workflows for materials science
2025
·
Alex M. Ganose
, Hrushikesh Sahasrabuddhe
, et al.
·
Digital Discovery
MP-ALOE
2025
·
Kuner, Matthew C.
, Kaplan, Aaron D.
, et al.
·
ColabFit Exchange
Atomate2: modular workflows for materials science
2025
·
Ganose, Alex M.
, Sahasrabuddhe, Hrushikesh
, et al.
·
RWTH Publications (RWTH Aachen)
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Works count:
20
Citation count:
998
H-index:
7
I10-index:
5
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