Nanomanufacturing Empowered with Artificial Intelligence
A special issue of Nanomanufacturing (ISSN 2673-687X).
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 1818
Special Issue Editors
Interests: metamaterials; machine learning; nanophotonics; plasmonics; optics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Over the past decades, artificial intelligence has become the hottest research topic that is gradually impacting almost all aspects of human life.
As Moore’s law indicates, the number of microchip transistors roughly doubles every two years. Throughout the past fifty years, technique improvements in nanomanufacturing have consistently added power to computers, which nurtures the growth of artificial intelligence (AI).
Eventually, this year we witnessed the boom of ChatGPT. Such AI techniques will significantly impact science and technology and can potentially update our technology to a new level. The era of AI is coming, which may lead to the next Industrial Revolution.
As artificial intelligence keeps growing every day, we think it is of great importance to discuss the impacts of AI on its soil, namely, nanomanufacturing. This Special Issue is designed to cover topics about nanomanufacturing techniques empowered with AI-related techniques.
Topics include but are not limited to the following:
- Machine learning/deep learning methods applied in nanomanufacturing;
- Design of machine learning/deep learning algorithms for multiscale manufacturing;
- Top-down and bottom-up nanomanufacturing techniques optimized with artificial intelligence;
- Nanodevices designed and fabricated for AI applications;
- Nanoscale storage systems for big data and high-performance computing platforms;
- Discovery of nanomaterial properties with machine-learning methods.
Dr. Feng Cheng
Dr. Liang Pan
Guest Editors
Manuscript Submission Information
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