Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 04 | 01 | Page :
    By

    Bibhu Prasad Ganthia,

  • Rosalin Pradhan,

  1. Assistant Professor, Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India
  2. Assistant Professor, Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal, Odisha, India

Abstract

The continuous scaling limitations of conventional CMOS technology have accelerated the exploration of alternative computing paradigms for next-generation low-power and high-performance systems. Spintronic logic devices have emerged as a promising solution due to their non-volatility, ultra-low switching energy, high integration density, and compatibility with beyond-CMOS architectures. This research presents a comprehensive modeling and energy optimization framework for spintronic logic devices applied in beyond- CMOS computing systems. The proposed work investigates the electrical and magnetic behavior of spin- transfer torque (STT) and spin-orbit torque (SOT)-based logic structures under varying operational conditions. Device-level simulations are performed to analyze switching delay, power dissipation, thermal stability, and energy efficiency. An optimization methodology integrating adaptive bias control and magnetization switching minimization is introduced to reduce dynamic and leakage power consumption while maintaining computational reliability. The performance of the proposed spintronic architecture is compared with conventional CMOS-based logic systems in terms of switching energy, latency, and scalability. Simulation results demonstrate significant reductions in energy consumption and improved operational stability, making spintronic devices suitable for future artificial intelligence, neuromorphic, and edge-computing applications. To improve device flexibility under nanoscale manufacturing restrictions, the suggested approach integrates parameter-aware optimisation techniques and scalable analytical models. Additionally, the study assesses how temperature fluctuations and material characteristics affect switching performance, enhancing the resilience and dependability of spintronic circuits for real-time computing settings. The study highlights the potential of spintronic technology as a sustainable and energy-efficient alternative for future nanoelectronic computing platforms .

Keywords: Spintronic Logic Devices; Beyond-CMOS Computing; Energy Optimization; Spin-Transfer Torque; Nanoelectronics; Low-Power Computing.

How to cite this article:
Bibhu Prasad Ganthia, Rosalin Pradhan. Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems. International Journal of VLSI Circuit Design & Technology. 2026; 04(01):-.
How to cite this URL:
Bibhu Prasad Ganthia, Rosalin Pradhan. Spintronic Logic Device Modeling and Energy Optimization for Beyond-CMOS Computing Systems. International Journal of VLSI Circuit Design & Technology. 2026; 04(01):-. Available from: https://journals.stmjournals.com/ijvcdt/article=2026/view=243931


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Ahead of Print Subscription Review Article
Volume 04
01
Received 12/05/2026
Accepted 14/05/2026
Published 15/05/2026
Publication Time 3 Days
16

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