Computational Modeling and Simulation Techniques for High-Performance Nanoscale Electronic Circuits

The fast-developing nanoscale electronic circuits give rise to large challenges in accurate organic modeling and simulating device’s atom and quantum levels behavior. Computational Modeling and Simulation is a key component to realize the optimal circuit performance, predict the reliability and to minimize the design cost. Physics based, compact, and hybrid simulation approaches are explored in this research and their accuracy, computational efficiency, and scalability are compared. It analyzes key challenges. The study further extends machine learning and AI-driven optimization to improve predictive capabilities. Derived characteristics are the development of efficient high accurate simulation frameworks that enable nanoscale circuit design and facilitate the design of the next generation high speed low power semiconductor devices.

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Published
2025-04-24
DOI
https://doi.org/10.1109/amathe65477.2025.11080885
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
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article

Computational Modeling and Simulation Techniques for High-Performance Nanoscale Electronic Circuits

K. Selvakumarasamy, Shani Sharif, Eswararao Boddepalli, Shamim Ahmad Khan et al.
Advancements in Semiconductor Devices and Circuit Design
article

Computational Modeling and Simulation Techniques for High-Performance Nanoscale Electronic Circuits

K. Selvakumarasamy, Shani Sharif, Eswararao Boddepalli, Shamim Ahmad Khan, Haider Sharif Mahdi, Naama Hussein Al-Muraad
article en

Abstract

The fast-developing nanoscale electronic circuits give rise to large challenges in accurate organic modeling and simulating device’s atom and quantum levels behavior. Computational Modeling and Simulation is a key component to realize the optimal circuit performance, predict the reliability and to minimize the design cost. Physics based, compact, and hybrid simulation approaches are explored in this research and their accuracy, computational efficiency, and scalability are compared. It analyzes key challenges. The study further extends machine learning and AI-driven optimization to improve predictive capabilities. Derived characteristics are the development of efficient high accurate simulation frameworks that enable nanoscale circuit design and facilitate the design of the next generation high speed low power semiconductor devices.

University of Kirkuk (IQ), Glocal University (IN), Al-Farahidi University, Saveetha University (IN), Virginia Tech (US)
Openalex Percentile: Top 84%
Advancements in Semiconductor Devices and Circuit Design
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Computational Modeling and Simulation Techniques for High-Performance Nanoscale Electronic Circuits — K. Selvakumarasamy, Shani Sharif, et al. · (2025) | TGRS Research Map | TGRS