Boris Kozinsky

Harvard University — United States

Materials Science · Physical Sciences

42h-index10.1kcitations249works12.12yr avg
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Research Topics

Machine Learning in Materials Science(87), Advanced Battery Materials and Technologies(31), Advanced Thermoelectric Materials and Devices(28), Advancements in Battery Materials(22), Ionic liquids properties and applications(21)

Publications248 total

Ion-dependent electrochemical behavior in shear-structured tungsten oxides
Solid State Ionics·2025Open Access
Equivalence of charged and neutral density functional formulations for correcting the many-body self-interaction of polarons
2025· 1 citedOpen Access
Quantum theory of nonlinear phononics
arXiv (Cornell University)·2025Open Access
Interfacial Behavior of Salt-in-Ionic Liquids: From Dry to Wet Regimes
ECS Meeting Abstracts·2025
Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices
2025· 1 citedOpen Access
Nonequilibrium quantum dynamics in SrTiO <sub>3</sub> under impulsive THz radiation with machine learning
Science Advances·2025· 1 citedOpen Access
Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices
arXiv (Cornell University)·2025Open Access
Nanoscale wetting controls reactive Pd ensembles in synthesis of dilute PdAu alloy catalysts
Nature Communications·2025· 4 citedOpen Access
Coupled reaction and diffusion governing interface evolution in solid-state batteries
ArXiv.org·2025· 1 citedOpen Access
Alternate cleavage structure and electronic inhomogeneity in Ca-doped <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi mathvariant="normal">YBa</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">Cu</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mrow><mml:mn>7</mml:mn><mml:mo>−</mml:mo><mml:mi>δ</mml:mi></mml:mrow></mml:msub></mml:math>
Physical review. B./Physical review. B·2025
Quantum cooling below absolute zero
arXiv (Cornell University)·2025Open Access
Publisher Correction: Atomistic simulations of out-of-equilibrium quantum nuclear dynamics
npj Computational Materials·2025Open Access
Unified differentiable learning of electric response
Nature Communications·2025· 17 citedOpen Access
High-performance training and inference for deep equivariant interatomic potentials
arXiv (Cornell University)·2025· 7 citedOpen Access
Atomistic simulations of out-of-equilibrium quantum nuclear dynamics
npj Computational Materials·2025· 1 citedOpen Access
Revealing the proton slingshot mechanism in solid acid electrolytes through machine learning molecular dynamics
arXiv (Cornell University)·2025· 1 citedOpen Access
Room-Temperature Decomposition of the Ethaline Deep Eutectic Solvent
The Journal of Physical Chemistry Letters·2025· 5 citedOpen Access
A practical guide to machine learning interatomic potentials – Status and future
Current Opinion in Solid State and Materials Science·2025· 109 citedOpen Access
Incongruent Melting and Phase Diagram of SiC from Machine Learning Molecular Dynamics
arXiv (Cornell University)·2025Open Access
The design space of E(3)-equivariant atom-centred interatomic potentials
Nature Machine Intelligence·2025· 118 citedOpen Access
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Frequent Co-authors

Nicola Molinari(10), Simon Batzner(9), Jonathan P. Mailoa(9), Albert Musaelian(8), Lixin Sun(7), Nicola Marzari(7), Cameron J. Owen(6), Marco Fornari(5), Ge. G. Samsonidze(5), Jonathan Vandermause(5), Mordechai Kornbluth(4), Anders Johansson(4), Anatoly I. Frenkel(4), Philippe Sautet(4), Yu Xie(4), Jin Soo Lim(4), Jake Christensen(3), Giovanni Pizzi(3), Rickard Armiento(3), Gerbrand Ceder(3)