Machine Learning Techniques for VLSI Circuit Design: A Review
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64847-2_17
Reference30 articles.
1. Afacan, E., Lourenço, N., Martins, R., Dündar, G.: Review: machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test. Integration 7, 113–130 (2021)
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3. Pandey, R., Khanna, A., Singh, K., Patel, S.K., Singh, H., Madan, J.: Device simulations: toward the design of> 13% efficient PbS colloidal quantum dot solar cell. Sol. Energy 207, 893–902 (2020)
4. Singh, G., Mantri, A., Sharma, O., Kaur, R.: Virtual reality learning environment for enhancing electronics engineering laboratory experience. Comput. Appl. Eng. Educ. 29(1), 229–243 (2021)
5. Amuru, D., et al.: AI/ML algorithms and applications in VLSI design and technology. Integration 93, 102048 (2023)
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