报告题目：Intelligent self-adaptive invisibility cloak

报告时间：2024年6月28日（周五）10:00

报告地点：信智楼305

承办单位：信智学院、科技处

报告人：钱超（研究员，浙江大学）

报告简介：

钱超博士，浙江大学研究员、博士生导师，2020年获浙江大学博士学位，曾在加州理工学院访问一年。主要研究方向包括超材料、电磁隐身、逆向设计、光计算等，发表期刊论文50余篇，其中第一/通讯作者论文包括Nature Photonics、Nature Communications（4篇）、Science Advances、Physical Review Letters、PNAS、Advanced Materials等顶级期刊论文40篇，ESI高被引论文10篇，入选全球前2%顶尖科学家、中国科协青年人才托举工程、浙江省优秀博士学位论文等。

Intelligent self-adaptive invisibility cloak

Recent breakthroughs in deep learning have ushered in an essential tool for optics and photonics, recurring in various applications of material design, system optimization, and automation control. Deep learning-enabled on-demand metasurface design and self-adaptive meta-devices have been the subject of extensive expansion, as it can alleviate the time-consuming and low-efficiency shortcomings in conventional numerical simulations and dependent working manner. In this talk, I will share the recent advances made in how to expedite the forward prediction, inverse design, and spectral correlation of metamaterials, by using deep learning- and physics-driven algorithms. Then, I will focus on the development of self-adaptive invisibility cloak that exhibits a millisecond response time to an ever-changing incident wave and the surrounding environment without any human intervention.