[修士課程]郭 毅恒(カク キコウ)
修士課程1年
東京大学大学院工学系研究科 原子力国際専攻
修士課程での研究テーマ
Solving Time-Dependent Dirac Equation, TDSE and other PDEs Using Machine Learning and Artificial Neural Networks.
経歴
学歴
09/2019—07/2023 Bachelor’s course, Applied Mathematics, Department of Mathematics, Jinan University, Guangzhou, China
10/2023—present Master’s course, Department of NuclearEngineering and Management, School of Engineering, The University of Tokyo, Tokyo, Japan
過去の研究テーマ
学部卒論
“Strong and Weak Convergence and Space Topology”
メッセージ
In our lab, there is an excellent academic atmosphere and everyone has a strong interest in mathematics and physics.
Especially in the fields of high-harmonic generation, and atto-second laser, we are the world’s leading laboratory.
If you are interested in these fields, please do not hesitate to join us!