Mark Asta

Lawrence Berkeley National Laboratory — United States

Earth and Planetary Sciences · Physical Sciences

92h-index35.3kcitations580works11.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

nanoparticles nucleation surface interactions(104), Intermetallics and Advanced Alloy Properties(72), Microstructure and mechanical properties(58), Advanced Materials Characterization Techniques(55), Nuclear Materials and Properties(51)

Publications580 total

A theoretical study of solid solution strengthening in the refractory medium entropy alloy <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg"> <mml:msub> <mml:mtext>Nb</mml:mtext> <mml:mrow> <mml:mn>45</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mtext>Ta</mml:mtext> <mml:mrow> <mml:mn>25</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mtext>Ti</mml:mtext> <mml:mrow> <mml:mn>15</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mtext>Hf</mml:mtext> <mml:mrow> <mml:mn>15</mml:mn> </mml:mrow> </mml:msub> </mml:math>
Materials & Design·2025· 1 citedOpen Access
The Effect of Temperature on the Dealloying Behavior of Binary Ni-20Cr Alloy in Molten Flinak
ECS Meeting Abstracts·2025
Evaluating Cold-Rolling and Irradiation Effects on Corrosion Resistance of Ni-Cr Alloys in Molten Flinak Salt
ECS Meeting Abstracts·2025
MP-ALOE: an r2SCAN dataset for universal machine learning interatomic potentials
npj Computational Materials·2025· 4 citedOpen Access
Ductility mechanisms in complex concentrated refractory alloys from atomistic fracture simulations
npj Computational Materials·2025· 3 citedOpen Access
A foundation model for atomistic materials chemistry
The Journal of Chemical Physics·2025· 65 citedOpen Access
Efficient machine learning interatomic potentials robust for liquid and multiple solid polymorphs of NaF and KF
Physical Review Materials·2025Open Access
MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
arXiv (Cornell University)·2025Open Access
Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures
arXiv (Cornell University)·2025Open Access
Tunable energy landscape of screw dislocation cores by compositional fluctuations in bcc high-entropy alloys from first-principles calculations
Physical Review Materials·2025Open Access
Author Correction: A framework to evaluate machine learning crystal stability predictions
Nature Machine Intelligence·2025· 1 citedOpen Access
Density Functional Theory Study of Iron–Oxygen Divacancies in Magnetite (Fe<sub>3</sub>O<sub>4</sub>) and Hematite (Fe<sub>2</sub>O<sub>3</sub>)
The Journal of Physical Chemistry C·2025· 4 citedOpen Access
SuperSalt: equivariant neural network force fields for multicomponent molten salts system
Nature Communications·2025· 3 citedOpen Access
Memsensing by surface ion migration within Debye length
Nature Materials·2025· 6 citedOpen Access
Uncovering the re-distribution mechanism of Ni in a de-alloyed Ni-Cr alloy in molten fluorinated salts
npj Materials Degradation·2025· 2 citedOpen 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
Kink Band Structure in BCC HEAs and In-situ Observation of Its Evolution During Plastic Deformation
Microscopy and Microanalysis·2025Open Access
A framework to evaluate machine learning crystal stability predictions
Nature Machine Intelligence·2025· 62 citedOpen Access
Multistage nucleation pathway in LiF molten salt mirrors the crystal–melt interface structure
Proceedings of the National Academy of Sciences·2025· 1 citedOpen Access
page 1 of 29Next →

Frequent Co-authors

Subodh G. Mhaisalkar(7), Nripan Mathews(7), Kristin A. Persson(7), J.J. Hoyt(6), Matthew Sherburne(5), Axel van de Walle(4), Maarten de Jong(4), Mikhail I. Mendelev(4), Hong Ding(4), Wei Chen(4), Anubhav Jain(4), Gerbrand Ceder(4), Robert O. Ritchie(4), Yao Cai(4), Wei Xie(4), David L. Olmsted(3), D. Y. Sun(3), Krishnamoorthy Thirumal(3), Stefano Curtarolo(3), Jun Ding(3)