基本信息
浏览量:6
职业迁徙
个人简介
I developed mathematical and numerical techniques for inverse design and optimization of photonic structures based on the 'adjoint variable method' (AVM). This technique allows one to efficiently compute how a device's performance will change with respect to a change in numerous design parameters using only a single additional simulation. This information is incredibly useful and can be used to perform sensitivity analysis or gradient based optimization. Many of my papers extend this method and apply it to large-scale optimization of various photonic devices. I have also drawn connections between the mathematics of the technique and physical processes occuring in photonic devices, using these connections to come up with new ways to train optical machine learning hardware and build analog recurrent neural networks using waves. As part of my PhD work, I was also involved in the Accelerator on a Chip International Program (ACHIP), which is working towards building miniature particle accelerators on a chip using advanced laser and nanofabrication technology (video explanation). I have been heavily involved in the scaling of these accelerators using integrated photonic circuits and control methods built directly onto the chip.
研究兴趣
论文共 44 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
arxiv(2023)
2023 IEEE PHOTONICS CONFERENCE, IPCpp.1-2, (2023)
Advances in Optics and Photonicsno. 4 (2022): 862-930
Conference on Lasers and Electro-Opticspp.1-2, (2022)
OSA Optical Design and Fabrication 2021 (Flat Optics, Freeform, IODC, OFT) (2021), paper FTh3C.5 (2021)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn