A novel reconfigurable multimode interference coupler for photonic vector-matrix multiplication operation using liquid crystal tuning

We present a new reconfigurable MMI coupler for photonic vector-matrix multiplication embedded with tuneable liquid crystals on an InP membrane platform. A new modeling technique is introduced that optimizes the liquid crystal tuning procedure via co-simulations with FDTD for the Iris flower classification benchmark.

Authors

Institutions

Publication Details

Published
2024-11-10
DOI
https://doi.org/10.1109/ipc60965.2024.10799915
Citations
1
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel reconfigurable multimode interference coupler for photonic vector-matrix multiplication operation using liquid crystal tuning

Rajib Ghosh, Weiming Yao, Danqing Liu
1 citations
Photonic and Optical Devices
0.21
article

A novel reconfigurable multimode interference coupler for photonic vector-matrix multiplication operation using liquid crystal tuning

Rajib Ghosh, Weiming Yao, Danqing Liu
article en
1 citations

Abstract

We present a new reconfigurable MMI coupler for photonic vector-matrix multiplication embedded with tuneable liquid crystals on an InP membrane platform. A new modeling technique is introduced that optimizes the liquid crystal tuning procedure via co-simulations with FDTD for the Iris flower classification benchmark.

Eindhoven University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 45%
Photonic and Optical Devices
0.21
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.