Academics

Total Hours: 48

Credits: 3

Assessment: In-class Quizzes + Final Presentation

I. Course Introduction

This course systematically explores core knowledge and cutting-edge technologies in carbon nanomaterials, and introduces the key role of artificial intelligence in new material discovery and applications. It provides graduate students with solid theoretical foundations and practical guidance.

Objectives:

1. Master the synthesis and fundamental properties of carbon nanomaterials (graphene, carbon nanotubes, carbon fibers, etc.).

2. Understand key engineering applications of carbon nanomaterials in high-strength composites, environmental sensors, etc.

3. Comprehend the roles of AI methods in material design, property prediction, and process parameter optimization.

4. Train practical abilities to solve real-world problems in materials research and development through algorithms and modeling.

II. Textbooks

No designated textbook.

III. References

[1] New Carbon Nanomaterials. Edited by Zhao Tingkai. Northwestern Polytechnical University Press, 2017.

[2] Foundations of Machine Learning. by Mehryar Mohri, Afshin Rostamizadeh. China Machine Press, 2019.

[3] Machine Intelligence and Scientific Experiments. Lecture notes by Fanyang Mo, Peking University.