PERSPECTIVE article
Front. Nanotechnol.
Sec. Nanoelectronics
Volume 7 - 2025 | doi: 10.3389/fnano.2025.1627210
This article is part of the Research TopicThought Leaders in Nanotechnology ResearchView all 6 articles
Reaching new frontiers in Nanoelectronics through Artificial Intelligence
Provisionally accepted
- University of Edinburgh, Edinburgh, United Kingdom
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AI is revolutionizing industries worldwide, delivering unprecedented productivity gains across diverse sectors, from healthcare to manufacturing. Recent advances in generative AI models have particularly accelerated innovation, enabling more efficient execution of complex tasks: drug discovery, autonomous driving, and predictive maintenance. In the areas of electronics manufacturing: a sector crucial to the advancement of modern technologies, the impact of AI is profound, with the potential to transform every stage of the supply chain. This perspective investigates the role of AI in reshaping the electronics and semiconductor industries, exploring how it integrates into various stages of production and development. The approach to AI integration is structured and methodical, addressing both challenges and opportunities across five key nanotechnology areas: materials discovery, device design, circuit and system design, testing/verification, and modeling. In materials discovery, AI aids in identifying new, more efficient and sustainable materials. In device design, it enhances the functionality and integration of components. AI's capabilities in circuit and system design enables more complex. precise electronic systems. During the testing and verification stage, AI contributes to more rigorous and faster testing processes, ensuring reliability before market release. Finally, in modeling, AI's predictive capabilities allow for accurate simulations, crucial for anticipating performance under various scenarios. Each pillar of this electronics supply chain underscores AI's ability to accelerate processes, optimize performance, and reduce costs. Supported by case studies of AI-driven breakthroughs, this perspective provides a comprehensive review of current AI applications across the entire electronic supply chain, illustrating improvements in yield and sustainable manufacturing practices.
Keywords: artificial intelligence, NanoElectronics Manufacturing, semiconductor design, nanotechnology applications, sustainable engineering, Electronics supply chain
Received: 12 May 2025; Accepted: 10 Jun 2025.
Copyright: © 2025 Sivasubramani and Prodromakis. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Santhosh Sivasubramani, University of Edinburgh, Edinburgh, United Kingdom
Themis Prodromakis, University of Edinburgh, Edinburgh, United Kingdom
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.