Description
This course is designed for both local and international graduate students, as well as senior undergraduate students. It is conducted entirely in English, and participants are expected to have a certain foundation in microelectronics and basic English communication skills.With the continuous miniaturization of silicon-based CMOS device process dimensions, integrated circuits have experienced rapid development in the era of "Moore's Law," driving progress in the entire information society. However, as the physical limits of devices approach and Moore's Law becomes challenging to sustain, the performance of devices not only results in excessive global energy consumption in integrated circuits but also creates technological barriers that concentrate the IC dividend in a few countries. With the development of technologies such as AI and emerging semiconductor devices, barriers in various links of the IC industry chain are expected to significantly decrease, benefiting a larger global area.
This course focuses on emerging integrated circuit technologies in the "post-Moore era," introducing the working principles, modeling methods, and circuit design methods of several emerging semiconductor devices. It also incorporates artificial intelligence to expedite the modeling and design cycle and reduce inequality between regions. The course will be delivered through a combination of lectures and practical exercises. Lectures will cover the theoretical foundations, methods, and algorithms related to data-driven compact modeling artificial intelligence technology. Practical exercises will involve applying these technologies to real transistor modeling and circuit design problems, guiding students to use datasets and software tools provided by the instructor.
| Period | 26 Jun 2024 → 18 Jul 2024 |
|---|---|
| Held at | Shanghai Jiao Tong University, China |
| Degree of Recognition | International |