Computational spectrometers enabled by nanophotonics and deep learning

L Gao, Y Qu, L Wang, Z Yu - Nanophotonics, 2022 - degruyter.com
A new type of spectrometer that heavily relies on computational technique to recover
spectral information is introduced. They are different from conventional optical spectrometers …

Software-defined nanophotonic devices and systems empowered by machine learning

Y Xu, B Xiong, W Ma, Y Liu - Progress in Quantum Electronics, 2023 - Elsevier
Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …

A microsized optical spectrometer based on an organic photodetector with an electrically tunable spectral response

X He, Y Li, H Yu, G Zhou, L Ke, HL Yip, N Zhao - Nature Electronics, 2024 - nature.com
Miniaturized optical spectrometers could be of use in portable and wearable applications.
Such devices have typically been based on arrays of photodetectors that provide distinct …

Single-detector spectrometer using a superconducting nanowire

L Kong, Q Zhao, H Wang, J Guo, H Lu, H Hao… - Nano Letters, 2021 - ACS Publications
Designing a spectrometer without the need for wavelength multiplexing optics can effectively
reduce the complexity and physical footprint. On the basis of the computational …

Spectrum reconstruction with filter-free photodetectors based on graded-band-gap perovskite quantum dot heterojunctions

XL Wang, Y Chen, Y Chu, WJ Liu… - … Applied Materials & …, 2022 - ACS Publications
Spectrum reconstruction with filter-free microspectrometers has attracted much attention
owing to their promising potential in in situ analysis systems, on-chip spectroscopy …

Ankle joint torque prediction using an NMS solver informed-ANN model and transfer learning

L Zhang, X Zhu, EM Gutierrez-Farewik… - IEEE journal of …, 2022 - ieeexplore.ieee.org
In this work, we predicted ankle joint torque by combining a neuromusculoskeletal (NMS)
solver-informed artificial neural network (hybrid-ANN) model with transfer learning based on …

Review of Miniaturized Computational Spectrometers

Q Guan, ZH Lim, H Sun, JXY Chew, G Zhou - Sensors, 2023 - mdpi.com
Spectrometers are key instruments in diverse fields, notably in medical and biosensing
applications. Recent advancements in nanophotonics and computational techniques have …

A Long Wave-Infrared Miniatured Quantum Dot Spectrometer

S Wang, Y Wang, T Guo, S Cao - Analytical Chemistry, 2024 - ACS Publications
In this work, a long-wave infrared (LWIR) quantum dot (QD) spectrometer was constructed
for the first time by integrating a 255-element HgSe QD filter array with an LWIR array …

Reconstructive Spectrum Analyzer with High‐Resolution and Large‐Bandwidth Using Physical‐Model and Data‐Driven Model Combined Neural Network

Y Wan, X Fan, B Xu, Z He - Laser & Photonics Reviews, 2023 - Wiley Online Library
Most neural networks (NNs) used for reconstructive spectrum analyzers (RSAs) rely on data‐
driven training strategies, which can be time‐consuming due to the need for a large training …

Denoising-autoencoder-facilitated MEMS computational spectrometer with enhanced resolution on a silicon photonic chip

J Zhou, H Zhang, Q Qiao, H Chen, Q Huang… - Nature …, 2024 - nature.com
Silicon photonics enables the construction of chip-scale spectrometers, in which those using
a single tunable interferometer provide a simple and cost-effective solution. Among various …