프로그램
세션 1 - 좌장: 류훈 (금오공대)
10:30 - 10:50 개회 및 Opening Talk, 신민철 (KAIST)
10:50 - 11:20 (초청강연) Integrating DFT and machine-learned interatomic potentials for efficient semiconductor materials simulation,
강용주 (시높시스 코리아)
11:20 - 11:50 (초청강연) Universal Machine-Learning Force Fields: An Introduction and Applications to Semiconductor Processing,
한승우 (서울대학교)
중식
11:50 - 13:15
세션 2 - 좌장: 이재현 (부산대)
13:15 - 13:40 (초청강연) Simulation of Electrical Noise in Semiconductor Devices Based on Various Transport Models, 홍성민 (GIST)
13:40 - 14:05 (초청강연) Applications of Phase-Field Method to Microstructure Simulation in Semiconductors, 권용우 (홍익대학교)
14:05 - 14:30 (초청강연) From Atoms to Circuits: Compact Modeling of 2D and Ferroelectric Devices for Logic and AI Computation,
전종욱 (성균관대학교)
14:30 - 14:45 Full-Band Semi-Classical Monte-Carlo Transport Simulation Improved by Cellular Monte-Carlo-Approach with Smearing and Marching Tetrahedra Methods, 이동혁 (연세대학교)
14:45 - 15:00 Investigation of the Electron-Phonon Scattering Effect on Small-Signal NEGF simulation for a Gate-All-Around Transistor, 안필헌 (GIST)
포스터 세션
15:00 - 16:00
세션 3 - 좌장: 장지원 (연세대)
16:00 - 16:25 (초청강연) Multi-Space Density Functional Simulations of 2D and Molecular Transistors, 김용훈 (KAIST)
16:25 - 16:50 (초청강연) First-principles materials design for advanced interconnects, 이영훈 (인천대학교)
16:50 - 17:05 Control of Spin-polarized Transport Properties in Organic Molecular Junction Materials, 조대흠 (경북대학교)
17:05 - 17:20 DeepSCF: Deep Convolutional Network Learning of Self-Consistent Electron Density, 이룡규 (KAIST)
17:20 - 17:35 Efficient Quantum-Mechanics-Based Molecular Dynamics Through Machine Learning-Driven Density Functional Theory Hamiltonian, 최근석 (KAIST)
Closing
17:35 - 17:40
포스터 리스트
순번 이름 소속 제목
1 강성우 연세대학교 Computational study of resistivity and reliability of Co binary alloys for advanced BEOL interconnect applications
2 권예한 GIST A TCAD Simulation Study on the Synaptic and Retention Characteristics of 6T1C IGZO-Based Synaptic Devices
3 김규빈 GIST Predicting semiconductor device types from randomly generated graph structures using neural network
4 김민주 부산대학교 LDD Optimization for Balancing Ioff and Ion in Scaled 4F² DRAM Structures
5 김재연 연세대학교 Impact of Source/Drain Contact Geometry on the Performance of Si Nanosheet FETs: Semi-Classical Monte-Carlo Study
6 김주석 KAIST Analysis of Electrical Characteristics in AlGaN/GaN HEMTs Using First-Principles and Transport Simulations
7 노경원 KAIST Amorphous IGZO mobility calculation based on model Hamiltonian and cation potential
8 안선우 부산대학교 Improving FinFET Scaling Limits Using Lightly Doped Drain Structures
9 오헌석 KAIST Site-specific Analysis of Grain Boundary Doping in Mo Interconnects for Resistivity Reduction
10 유승현 KAIST A smooth occupation scheme for stabilizing finite-bias first-principles simulations
11 유일한 KAIST Amorphous IGZO mobility calculation based on Density Functional Theory
12 윤석형 연세대학교 Theoretical Study on Layer Number-Dependent Electron Transport in MoS2 and InSe via Full Band Semi Classical Monte-Carlo Simulation
13 이광운 GIST Efficient Approach for Semiconductor Device Simulation of 3D Multi-Gate Logic Transistor
14 이노기 성균관대학교 First-Principles Design of Self-Assembled Monolayers for Trap-Free Exciton Dissociation in Tungsten Diselenide Bilayers
15 이석원 KAIST Multiscale Investigation of Metal–Ferroelectric Interfaces: From First-Principles to 3D Phase-Field Simulation
16 이의호 연세대학교 Effect of Surface Orientation-Dependent Quantum Confinement on FinFETs and Nanosheet FETs
17 이정원 KAIST Density Functional Effective Mass Approximation Calculations of 2D Halide Perovskite Nanoplatelets
18 임영준 KAIST Learning-Based Mode Space Optimization for Efficient Quantum Transport Simulation
19 임창민 연세대학교 Development of Machine-Learned Force Fields for Atomistic Insight into Carbon-Doped GeTe
20 장민서 GIST Investigation of Mechanical Stress in GAA Transistors with Backside Power Delivery Network
21 정수민 GIST Performance Analysis of 6T SRAM in 90nm CMOS Technology
22 정승우 GIST Design of Enhanced Writability 4P4N CFET SRAM with Bottom Contacts and Split-Gate Structure
23 정태영 KIST VacHopPy: A Python package for extracting effective vacancy hopping parameters from ab initio molecular dynamics for multiscale modeling
24 최윤우 부산대학교 A Further Scaling Strategy for FinFETs Beyond 3nm: Elimination of Epitaxial Source/Drain