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Residual strain optimization in 3D MOSFET structures for enhanced mobility via nanoscale heat transferoa mark
  • Hong, Ji Hoon ;
  • Kang, Min Sung ;
  • Ha, Inho ;
  • Park, Hong Lae ;
  • Park, Kyungwook ;
  • Jeon, Joohyun ;
  • Yoo, Wonseok ;
  • Kim, Jueun ;
  • Chung, Chunhyung ;
  • Park, Sung Min ;
  • Cho, Sung Beom
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Publication Year
2025-01-07
Journal
Journal of Applied Physics
Publisher
American Institute of Physics
Citation
Journal of Applied Physics, Vol.137 No.1
Mesh Keyword
Density-functional theory calculationsElement methodEnhanced mobilityMOSFET structuresMOSFETsMultiphysics simulationsNanoscale heat transfersResidual strainsStrain optimization
All Science Classification Codes (ASJC)
Physics and Astronomy (all)
Abstract
This study addresses the optimization of strain in continuous MOSFET downscaling, particularly at the nanoscale, where traditional Fourier models fail due to non-diffusive phonon transport effects. We introduce a multi-physics simulation approach that combines Finite Element Method (FEM) and Density Functional Theory (DFT) calculations to design strain-optimized 3D MOSFET structures. By implementing the kinetic collective model within FEM simulations, we accurately predict thermal-induced strains in the Si channel layer. Our DFT calculations further elucidate the impact of these strains on the electronic properties, particularly the electron effective mass, thereby offering insights into mobility enhancement strategies. The study not only advances the implications of nanoscale heat transfer for device performance but also provides a robust framework for optimizing next-generation semiconductor devices through strain engineering and sophisticated multi-physics simulations.
ISSN
1089-7550
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38430
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85215247894&origin=inward
DOI
https://doi.org/10.1063/5.0234072
Journal URL
http://scitation.aip.org/content/aip/journal/jap
Type
Article
Funding
We would like to express our sincere gratitude to Dr. Albert Beardo for his insightful feedback and valuable suggestions for KCM calculation in detail. Computational resources were provided by the Korea Supercomputing Center (No. KSC-2023-CRE-0387). This work was supported by Samsung Electronics Co., Ltd (No. IO221226-04366-01), the National R&D Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. RS-2023-00209910), and Global-Learning & Academic Research Institution for Master & Ph.D. students, and Postdocs (LAMP) Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (No. RS-2023-00285390).
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Department of Materials Science Engineering
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