11/06(목) 전문가초청특강은 캐나다 University of Waterloo의 윤영기 박사님을 모시고 진행합니다.

관심있는 분들의 많은 참석 부탁드립니다.

ㅁ주제:  Computational Nanoelectronics: Recent Advances from Material Modeling to Device Simulation

ㅁ일시: 11/06(목) 16:00

ㅁ장소: 제2종합연구동 83188호

ㅁ약력: 

ㅁ초록:

Recent advances in two-dimensional (2D) materials and their device applications have sparked significant
scientific and engineering interest in layered-material electronics. Over the past decade, the discovery of new
2D materials has significantly broadened research opportunities, driving innovation across diverse
applications, including electronic, optoelectronic, sensing, and display technologies. These materials exhibit
unique properties such as high carrier mobilities, tunable bandgaps, and enhanced optical responses, making
them promising candidates for next-generation nanoelectronic devices. However, despite rapid experimental
progress, fundamental challenges remain in optimizing 2D-material-based devices due to intrinsic material
variability, fabrication complexities, and scaling limitations.
In this work, we present recent advancements in numerical simulations for 2D-material electronics,
highlighting the role of computational modeling in overcoming experimental limitations. We will first review
simulation methodologies, including quantum transport models and comprehensive multi-scale approaches.
Then, we will demonstrate how machine learning techniques can be leveraged to generate a sparse tightbinding
Hamiltonian, enabling efficient and accurate electronic structure calculations on a material level.
Coupling machine learning techniques with robust quantum transport simulations, we evaluate the
performance of sub-10 nm transistors based on novel 2D materials, providing key design guidelines for future
device development. Additionally, we introduce a novel computational framework for simulating negative
capacitance devices, a promising avenue for reducing power dissipation in modern electronics. We will
discuss the fundamental operating principles of negative capacitance transistors and strategies to optimize
performance for various target applications.
By combining advanced numerical techniques with emerging 2D materials for device applications, this
work seeks to complement experimental nanoelectronics research, providing deeper insights into device
behavior and accelerating the development of next-generation 2D-material nanoelectronics.