Ken‐ichi Nomura

University of Southern California — United States

Materials Science · Physical Sciences

28h-index2.8kcitations220works2.92yr avg
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Research Topics

Machine Learning in Materials Science(29), Lymphoma Diagnosis and Treatment(15), Astro and Planetary Science(13), Planetary Science and Exploration(13), Chronic Lymphocytic Leukemia Research(10)

Publications219 total

Effectiveness of using a single-shade universal resin composite before internal bleaching: a 15-month follow-up case report
BDJ·2025Open Access
Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices
2025· 1 citedOpen Access
Performance of Developed Mononuclear Cell Separator for Regenerative Therapy Is Comparable to Manual
Tissue Engineering Part C Methods·2025
Effect of Non‐Thermal Plasma on the Interface Between Skin and Surface Electrodes for Biological Signal Measurement
Plasma Processes and Polymers·2025
Multiscale light-matter dynamics in quantum materials: from electrons to topological superlattices
arXiv (Cornell University)·2025Open Access
Allegro-FM: Toward an Equivariant Foundation Model for Exascale Molecular Dynamics Simulations
The Journal of Physical Chemistry Letters·2025· 3 cited
Beyond Scaling: Chemical Intuition as Emergent Ability of Universal Machine Learning Interatomic Potentials
arXiv (Cornell University)·2025Open Access
Large-scale Molecular Dynamics Simulations of Spacecraft Reentry in the Atmosphere: the case of Aluminum        
2024Open Access
Catalysis in Extreme Field Environments: A Case Study of Strongly Ionized SiO<sub>2</sub> Nanoparticle Surfaces
Journal of the American Chemical Society·2024· 3 citedOpen Access
Thermoelectric Grain Boundary in Monolayer MoS<sub>2</sub>
The Journal of Physical Chemistry C·2024· 2 cited
Catalysis in Extreme Field Environments: The Case of Strongly Ionized $SiO_{2}$ Nanoparticle Surfaces
arXiv (Cornell University)·2024Open Access
Potential Ozone Depletion From Satellite Demise During Atmospheric Reentry in the Era of Mega‐Constellations
Geophysical Research Letters·2024· 33 citedOpen Access
Molecular Autonomous Pathfinder Using Deep Reinforcement Learning
The Journal of Physical Chemistry Letters·2024· 2 citedOpen Access
CyberMAGICS: Cyber Training on Materials Genome Innovation for Computational Software for Future Engineers
2024Open Access
Alkali hydroxide (LiOH, NaOH, KOH) in water: Structural and vibrational properties, including neutron scattering results
The Journal of Chemical Physics·2024· 3 citedOpen Access
Space Debris Demise upon Re-entry as a Potential Atmospheric Pollutant
2024· 3 cited
Surface Transfer Doping in MoO<sub>3–<i>x</i></sub>/Hydrogenated Diamond Heterostructure
The Journal of Physical Chemistry Letters·2024· 2 citedOpen Access
The effects of the velocity distribution of impact generated water ice ejecta on exospheric escape from airless bodies
Icarus·2024
Kibble–Zurek scaling of nonequilibrium phase transition in barium titanate
Applied Physics Letters·2023· 1 cited
Molecular Autonomous Pathfinder using Deep Reinforcement Learning
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Rajiv K. Kalia(33), Priya Vashishta(33), Aiichiro Nakano(33), Masafumi Taniwaki(10), Pankaj Rajak(7), Shigeo Horiike(7), Sungwook Hong(6), Fuyuki Shimojo(6), Kazuhiro Nishida(6), Subodh Tiwari(5), Aravind Krishnamoorthy(5), Yosuke Matsumoto(4), Shigeo Nakamura(4), Yue Jiang(3), Xiaolin Zheng(3), Adri C. T. van Duin(3), Shogo Fukushima(3), Yi‐Chun Chen(3), Ankit Mishra(3), Hikmet Dursun(3)