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손성민 교수

Sungmin Son

KAIST 바이오및뇌공학과 · 공학

연구실 소개

손성민 교수 연구실은 초소형 전자소자 및 고성능 에너지 시스템의 핵심 기술을 연구하고 있습니다. 특히 초저온 웨이퍼 볼드링, 슈퍼크리티컬 CO₂(스-CO₂) 기반 열역학 사이클, 소형 모듈러 Reactor(SMR)의 설계 및 성능 평가에 초점을 맞추고 있으며, 고도화된 재료 표면 처리와 복합 시스템의 신뢰성 분석을 통해 차세대 반도체 및 원자력 기술의 실현 가능성을 탐색하고 있습니다. 특히, 에너지 효율 향상과 환경 친화적 기술 통합을 위한 열역학적·재료적 통합 설계가 핵심 연구 방향입니다.

스-CO₂ 사이클소형모듈러원자로초저온웨이퍼 bondingMLCC 절단공정에너지 시스템 신뢰성

연구 현황

논문 수
64
총 인용 수
1,118
최근 5년 논문
15
주요 분야
공학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
15총합
2021
2023
2024
2025
2026
5개년 연도별 피인용 수
67총합
20212023202420252026

주요 논문

15
1
논문|인용수 297·2004
Effects of the friction coefficient on the minimum cutting thickness in micro cutting
Seongmin Son, Han Seok Lim, Jung Hwan Ahn
SJR Q1International Journal of Machine Tools and Manufacture
Biomedical EngineeringEngineering
2
논문|인용수 104·2007
Influences of pulsed power condition on the machining properties in micro EDM
Seongmin Son, Han-Seok Lim, A. Senthil Kumar, M. Rahman
SJR Q1Journal of Materials Processing Technology
Electrical and Electronic EngineeringEngineering
3
논문|인용수 64·2018
Prediction of inner pinch for supercritical CO2 heat exchanger using Artificial Neural Network and evaluation of its impact on cycle design
Seongmin Son, Jin Young Heo, Jeong Ik Lee
SJR Q1Energy Conversion and Management
Mechanical EngineeringEngineering
4
논문|인용수 61·2020
Development of supercritical CO2 turbomachinery off-design model using 1D mean-line method and Deep Neural Network
Seongmin Son, Yongju Jeong, Seong Kuk Cho, Jeong Ik Lee
SJR Q1Applied Energy
Mechanical EngineeringEngineering
5
논문|인용수 28·2006
The effect of vibration cutting on minimum cutting thickness
Seongmin Son, Han-Seok Lim, Jung-Hwan Ahn
SJR Q1International Journal of Machine Tools and Manufacture
Mechanical EngineeringEngineering
6
논문|인용수 28·2018
Application of adjoint sensitivity analysis method to supercritical CO2 power cycle optimization
Seongmin Son, Jeong Ik Lee
SJR Q1Energy
Mechanical EngineeringEngineering
7
논문|인용수 27·2020
Characteristics of Plasma-activated Dielectric Film Surfaces for Direct Wafer Bonding
Seongmin Son, Junhong Min, Eunsuk Jung, Hoechul Kim, Taeyoung Kim, Hyungjun Jeon, Jin Nam Kim, Seokho Kim, Kwangjin Moon, Hoonjoo Na, Kihyun Hwang, Geun Young Yeom

The low-temperature wafer bonding has been studied on two types of dielectric material (SiO, SiCN) as final bonding layers. It is important for the wafer bonding technology to obtain the higher interfacial energy between two bonding wafers, and oxygen and nitrogen (O <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , N <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) plasma treatments ha

Electrical and Electronic EngineeringEngineering
8
논문|인용수 27·2015
Development of an advanced printed circuit heat exchanger analysis code for realistic flow path configurations near header regions
Seongmin Son, Youho Lee, Jeong Ik Lee
SJR Q1International Journal of Heat and Mass Transfer
Electrical and Electronic EngineeringEngineering
9
논문|인용수 25·2019
Reduction of CO2 emission for solar power backup by direct integration of oxy-combustion supercritical CO2 power cycle with concentrated solar power
Seongmin Son, Jin Young Heo, Nam Il Kim, Aqil Jamal, Jeong Ik Lee
SJR Q1Energy Conversion and Management
Mechanical EngineeringEngineering
10
논문|인용수 20·2020
Experimental investigation on performance degradation of a supercritical CO2 radial compressor by foreign object damage
Seongmin Son, Seong Kuk Cho, Jeong Ik Lee
SJR Q1Applied Thermal Engineering
Mechanical EngineeringEngineering
11
논문|인용수 18·2008
Investigation of cutting characteristics for worm machining on automatic lathe — Comparison of planetary milling and side milling
MinHwan Lee, Dong-Bae Kang, Seongmin Son, Jung-Hwan Ahn
SJR Q2Journal of Mechanical Science and Technology
Mechanical EngineeringEngineering
12
논문|인용수 9·2023
Determining adsorbent performance degradation in pressure swing adsorption using a deep learning algorithm and one-dimensional simulator
Seongmin Son
SJR Q2Korean Journal of Chemical Engineering
Mechanical EngineeringEngineering
13
논문|인용수 9·2020
Impact of Turbomachinery Degradation on Performance and Dynamic Behavior of Supercritical CO2 Cycle
Seongmin Son, Jeong Yeol Baek, Yongju Jeong, Jeong Ik Lee
SJR Q2Journal of Engineering for Gas Turbines and Power

Abstract Due to small footprint and high efficiency, a Supercritical CO2 (S-CO2) power cycle is considered to be one of the promising next-generation power cycles. Although S-CO2 is reported as a powerful cleaning agent, the performance of a power system operating with S-CO2 will also inevitably degrade over time. Previous researchers have shown that turbomachinery deterioration could be a major subject regarding the system performance degradation. Nevertheless, no quantitative evaluation has ye

Mechanical EngineeringEngineering
14
논문|인용수 7·2020
Radionuclide transport in a long‐term operation supercritical CO 2 ‐cooled direct‐cycle small nuclear reactor
Seongmin Son, Jinsu Kwon, Bong Seong Oh, Seong Kuk Cho, Jeong Ik Lee
SJR Q1International Journal of Energy Research

In recent years, to overcome the challenges of nuclear power plants due to their large scale, numerous types of small modular reactors are being designed worldwide. Small modular reactors are required to have a capability to operate in environmentally challenging regions with long refueling time. Supercritical CO2 (S-CO2)-cooled direct-cycle reactor is one of the candidates that can meet these requirements. In order to evaluate if the design achieves this goal, transport of generated radionuclid

Computational MechanicsEngineering
15
논문|인용수 6·2023
Feasibility and performance limitations of Supercritical carbon dioxide direct-cycle micro modular reactors in primary frequency control scenarios
Seongmin Son, Jeong Ik Lee
SJR Q2Nuclear Engineering and TechnologyOA

This study investigates the application of supercritical carbon dioxide (S–CO2) direct-cycle micro modular reactors (MMRs) in primary frequency control (PFC), which is a scenario characterized by significant load fluctuations that has received less attention compared to secondary load-following. Using a modified GAMMA + code and a deep neural network–based turbomachinery off-design model, the authors conducted an analysis to assess the behavior of the reactor core and fluid system under differen

Mechanical EngineeringEngineering

대표 연구 분야

Mechanical EngineeringElectrical and Electronic EngineeringBiomedical EngineeringComputational MechanicsCivil and Structural EngineeringInfectious Diseases

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