KN
Ken-ichi NOMURA
University of Southern California
Research areas: Computer Science · Hardware and Architecture · Machine Learning in Materials Science · Advanced Chemical Physics Studies · Parallel Computing and Optimization Techniques
0000-0002-1743-1419
Employment
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University of Southern California Associate Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (174)
- Chemical intuition on bond-dissociation energies as an emergent ability of universal machine-learning interatomic potentials Save
- Interatomic-potential dependence and quenching-rate effects on the structure and mechanical anisotropy of amorphous tobermorite Save
- An AI Framework for Optimization of Operating Conditions, Geometry, and Material Screening in Membrane Gas Separation Save
- Supercritical water at ten densities from 0.1 to 1.0 gr/cc at 1000 K using ab initio molecular dynamics simulations Save
- Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices Save
- Allegro-FM: Toward an Equivariant Foundation Model for Exascale Molecular Dynamics Simulations Save
- A critical review of approaches to teaching artificial intelligence in undergraduate materials engineering Save
- Catalysis in Extreme Field Environments: A Case Study of Strongly Ionized SiO2 Nanoparticle Surfaces Save
- Thermoelectric Grain Boundary in Monolayer MoS2 Save
- Potential Ozone Depletion From Satellite Demise During Atmospheric Reentry in the Era of Mega‐Constellations Save
- Molecular Autonomous Pathfinder Using Deep Reinforcement Learning Save
- Alkali hydroxide (LiOH, NaOH, KOH) in water: Structural and vibrational properties, including neutron scattering results Save
- Benchmarking Machine Learning Models on a Dielectric Constant Database for Bandgap Prediction Save
- Kibble–Zurek scaling of nonequilibrium phase transition in barium titanate Save
- High-throughput computation and machine learning of refractive index of polymers Save
- Allegro-Legato: Scalable, Fast, and Robust Neural-Network Quantum Molecular Dynamics via Sharpness-Aware Minimization Save
- Computational framework for polymer synthesis to study dielectric properties using polarizable reactive molecular dynamics Save
- CyberMAGICS: Cyber Training on Materials Genome Innovation for Computational Software for Future Engineers Save
- Fragmentation of an Ice Nanoparticle During Hypervelocity Impact: Atomic Scale Simulation Save
- High-throughput computation and machine learning of refractive index of polymers Save