V. Basil Hans,
- Research Professor, Department of Electronics & Telecommunication Engineering, Surathkal, Mangaluru, Karnataka, India
Abstract
The integration of artificial intelligence (AI) in circuit design and simulation is revolutionizing the electronics industry by enabling faster, more efficient, and innovative design processes. This article explores the transformative role of AI in automating tasks traditionally reliant on manual expertise, such as schematic generation, component optimization, and fault detection. It highlights how machine learning algorithms and generative AI tools are improving design accuracy, reducing time-to-market, and enabling cost-effective prototyping. The paper also discusses AI-driven simulation tools that enhance predictive modelling, thermal management, and signal integrity analysis. By examining real world applications and emerging trends, this article underscores the potential of AI to redefine the boundaries of modern electronics design and foster innovation in fields such as internet of things (IoT), wearable technology, and high-speed computing. Challenges such as data availability, computational overhead, and the need for domain-specific AI training are also addressed, paving the way for future research in AI-augmented electronics design. The electronics industry has undergone a revolution because to the use of artificial intelligence (AI) in circuit design and simulation, which offers previously unheard-of potential to speed up simulation operations, increase accuracy, and optimize design processes. Engineers now have intelligent assistants that can anticipate, automate, and optimize design solutions thanks to the integration of AI technologies like machine learning, deep learning, and evolutionary algorithms into circuit design tools. This study investigates the effects of artificial intelligence (AI) on contemporary circuit design, looking at how it affects different phases from the creation of schematics to testing and verification.
Keywords: Electronics design, iterative design cycles, artificial intelligence (AI) engineer, smart algorithms, wearable technology, high-speed computing
[This article belongs to Journal of Semiconductor Devices and Circuits ]
V. Basil Hans. The Role of AI in Modern Circuit Design and Simulation. Journal of Semiconductor Devices and Circuits. 2025; 12(01):9-14.
V. Basil Hans. The Role of AI in Modern Circuit Design and Simulation. Journal of Semiconductor Devices and Circuits. 2025; 12(01):9-14. Available from: https://journals.stmjournals.com/josdc/article=2025/view=197518
References
1. Amuru D, Zahra A, Vudumula HV, Cherupally PK, Gurram SR, Ahmad A, Abbas Z. AI/ML algorithms and applications in VLSI design and technology. Integration. 2023; 93: 102048.
2. Abbas Z, Olivieri M. Impact of technology scaling on leakage power in nano-scale bulk CMOS digital standard cells. Microelectron J. 2014; 45 (2): 179–195.
3. EMSG Electronic Manufacturing Services Group, Inc. How AI Is Changing Circuit Board Technology. [Online]. 2022. Available at https://emsginc.com/industries-we-serve/pcb-design-for data-centers/
4. Jiang L. AI-driven circuit simulation and optimization. In: International Conference on Electrical Engineering and Intelligent Control (EEIC 2024), Singapore, October 11–13, 2024. pp. 612–615.
5. Huang J-L, Koh C-K, Cauley SF. Logic and circuit simulation. In: Wang L-T, Chang Y-W, Cheng K-T, editors. Electronic Design Automation. San Francisco, CA, USA: Morgan Kaufmann; 2009. pp. 449–512.
6. Cao S. Development of AI-based simulation circuit design and assistance systems. In: 2024 IEEE 6th International Conference on Civil Aviation Safety and Information Technology (ICCASIT), Hangzhou, China, October 23–25, 2024. pp. 55–59.
7. Jóźwiak L. Advanced AI search techniques in modern digital circuit synthesis. Artif Intell Rev. 2003; 20: 269–318.
8. Khetarpal V, Gupta L, Dhand R, Sharma P. Machine learning techniques for VLSI circuit design: a review. In: Abraham A, Bajaj A, Hanne T, Siarry P, Ma K, editors. Intelligent Systems Design and Applications. Cham, Switzerland: Springer Nature; 2023. pp. 191–199.
9. Wei W. Automatic design of microcontroller system simulation based on artificial intelligence technology and data intelligence analysis. Procedia Computer Sci. 2023; 228: 966–973.
10. Mehradfar A, Zhao X, Niu Y, Babakniya S, Alesheikh M, Aghasi H, Avestimehr S. AI circuit: amulti-level dataset and benchmark for AI-driven analog integrated circuit design. arXiv preprint.arXiv:2407.18272. July 22, 2024.
Journal of Semiconductor Devices and Circuits
| Volume | 12 |
| Issue | 01 |
| Received | 21/01/2025 |
| Accepted | 25/01/2025 |
| Published | 10/02/2025 |
| Publication Time | 20 Days |
Login
PlumX Metrics