Research

Research Topics

Boiling Fundamentals & Acoustic Diagnostics

We uncover the physics of boiling heat transfer — bubble dynamics, CHF, and surface-wettability effects — using high-speed visualization, IR thermography, and acoustic emission sensing that hears what cameras cannot see.

고속 가시화·적외선 계측·음향 신호로 비등 열전달의 한계와 기포 거동을 규명하는 연구.

Generative & Agentic AI for Nuclear Analysis

AI agents that read, model, and verify: we build agentic AI workflows that accelerate thermal-hydraulic analysis — automating code input generation, surrogate modeling, digital twin and validation-gated online adaptation.

생성형 AI 및 Agentic AI를 이용하여 원자력 해석 프로세스의 자동화·가속화 및 디지털 트윈 연구.

Nuclear Thermal-Hydraulic Experiment & Analysis

We evaluate the safety of Nuclear Reactors through system-code transient analysis, CFD, and scaled integral effect testing — from facility scaling design to validation against experiments.

계통해석코드와 열수력실험으로 SMR 등의 차세대 원전과 계속운전 원전 이슈에 대한 과도현상 및 안전성을 평가하는 연구.

Code & Datasets

We share our code and datasets openly to support reproducible research in thermal-hydraulics and AI.
재현 가능한 연구를 위해 코드와 데이터셋을 공개합니다.

Code (GitHub)

Boiling-Acoustic-to-Video — No-prior residual conditional flow-matching model for generating pool-boiling videos from external acoustic signals. Includes preprocessing, training, and inference scripts.
🔗 https://github.com/TH-dyLIM/Boiling-Acoustic-to-Video

Datasets (Figshare)

Paired Acoustic–Video Pool-Boiling Dataset & Trained Models — Synchronized 1 MHz acoustic waveforms and 100 fps high-speed boiling videos (40–895 kW/m²), with trained model weights for the acoustic-to-video generation framework.
🔗 https://doi.org/10.6084/m9.figshare.32942918

Lectures

2026년 2학기

열유체역학
핵공학응용
원자로열수력특론

2026년 1학기

차세대원자력 및 지식재산권 개론
SMR 계통 기초

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