SEOUL NATIONAL UNIVERSITY · Materials Science and Engineering

Advanced Next-generation
Semiconductor Lab

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RESEARCH

Research Topics

3D Integration
RESEARCH 01

Vertical stacking and heterogeneous integration for next-generation logic and memory, with a focus on thermal budget and interconnect parasitics.

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Bio-inspired Computing
RESEARCH 02

Neuromorphic devices and synaptic arrays that emulate biological computation — visual receptive fields, olfaction, and spiking dynamics.

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Quantum-inspired Computing
RESEARCH 03

Probabilistic bits and Ising machines for combinatorial optimization, realized entirely in CMOS-compatible technology.

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Device Reliability
RESEARCH 04

Physics of device degradation — floating-body and self-heating effects, dielectric and interface reliability — across silicon and oxide semiconductors, from logic and DRAM to NAND, TFT, and capacitors.

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PUBLICATIONS

Representative Publications

2-tier monolithic 3D FeFET array and silicon-logic integration illustration
International Electron Devices Meeting (IEDM) · 2026
Experimental Demonstration of a 2-Tier Monolithic 3D FeTFT Array with 3-b/cell Analog MAC and Full-Stack Evaluation for CNN and MoE-LLM Inference
P-bit 기반 확률론적 컴퓨팅 하드웨어 회로도
Nature Communications · 2026
CMOS Compatible Probabilistic Computing Hardware with Cointegrated Reconfigurable P-Bits and Synapse Arrays
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Potts 모델 기반 다상태 확률론적 컴퓨팅 네트워크
Advanced Materials · 2026
Multi-State Probabilistic Computing Using Floating-Body MOSFETs Based on the Potts Model for Solving Complex Combinatorial Optimization Problems
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뉴로모픽 시각 수용장 소자와 스파이크 흥분·억제 특성
Advanced Materials · 2025
Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium-Gallium-Zinc-Oxide Optoelectronic Memristors Over Silicon Neuron Transistors
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