Automated intelligent design of ultrafast photodectors

This paper presents an automated intelligent design system for semiconductor photodetectors, which is capable of identifying the optimal performance of the photodetector under arbitrary material distribution. The aforementioned method was employed for the design of a modified uni-traveling carrier photodetector(MUTC-PD), exhibiting a bandwidth of 232GHz(@-5V) and an RF output power of 16.799dBm(@100GHz).

Authors

Institutions

Publication Details

Published
2025-04-14
DOI
https://doi.org/10.1109/siphotonics64386.2025.10984744
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated intelligent design of ultrafast photodectors

Junjing Huang, Xiaofeng Duan
1 links
Advanced MEMS and NEMS Technologies
article

Automated intelligent design of ultrafast photodectors

Junjing Huang, Xiaofeng Duan
article en

Abstract

This paper presents an automated intelligent design system for semiconductor photodetectors, which is capable of identifying the optimal performance of the photodetector under arbitrary material distribution. The aforementioned method was employed for the design of a modified uni-traveling carrier photodetector(MUTC-PD), exhibiting a bandwidth of 232GHz(@-5V) and an RF output power of 16.799dBm(@100GHz).

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Information Photonics and Optical Communications
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 92%
Advanced MEMS and NEMS Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.