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PHYSICS × COMPUTATION × INTELLIGENCE
We combine atomic-scale physics, multiscale simulation, and device engineering with physics-grounded AI to understand and design emerging semiconductor materials and devices.
Semiconductor physics, computation & intelligent design.
Semiconductor physics, computation & intelligent design.
Led by Prof. Changwook Jeong (정창욱) at Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
We connect semiconductor materials and interfaces, carrier transport, device reliability, emerging memory and computing devices, and physics-grounded AI.
Selected papers · direct sources
Selected papers · direct sources
A Scaling Theory for the Nonlinear Subthreshold Behavior of Cryogenic Ultrathin Body MOSFETs
IEEE Electron Device Letters · 2026
Neural Domain Decomposition for Scalable Multi-Physics: Chip-Scale Thermal-Stress Analysis
DAC · 2026
Contact Physics in 2D Nanoelectronics: Comparative Study of Type-II Weyl and Dirac Semimetals
ACS Nano · 2025
YOUR NEXT RESEARCH QUESTION
Find a question that moves you.
Find a question that moves you.
Connect materials, processes, device behavior and data-driven design.
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