Ravikumar, Siddharth (2025) Semiconductor verification: Driving sustainable innovation for a smarter society. World Journal of Advanced Research and Reviews, 26 (2). pp. 886-894. ISSN 2581-9615
![WJARR-2025-1396.pdf [thumbnail of WJARR-2025-1396.pdf]](https://eprint.scholarsrepository.com/style/images/fileicons/text.png)
WJARR-2025-1396.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike.
Abstract
Semiconductor verification frameworks serve as essential catalysts for sustainable innovation in our connected world. Modern verification tools enable the development of energy-efficient integrated circuits that power IoT, AI, and green computing applications. By identifying design flaws early, these frameworks minimize rework and reduce the environmental footprint of semiconductor manufacturing. The benefits extend beyond productivity, enabling transformative applications in healthcare, renewable energy, and transportation. Machine learning integration has enhanced verification workflows, making them more efficient and scalable. Greater collaboration between academia, industry, and policymakers is needed to advance verification technologies and promote sustainable semiconductor innovation.
Item Type: | Article |
---|---|
Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.1396 |
Uncontrolled Keywords: | Semiconductor Verification; Sustainable Innovation; Energy Efficiency; Machine Learning Integration; Societal Impact |
Depositing User: | Editor WJARR |
Date Deposited: | 04 Aug 2025 15:56 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/2712 |