Computational spectrometers enabled by nanophotonics and deep learning
A new type of spectrometer that heavily relies on computational technique to recover
spectral information is introduced. They are different from conventional optical spectrometers …
spectral information is introduced. They are different from conventional optical spectrometers …
Software-defined nanophotonic devices and systems empowered by machine learning
Nanophotonic devices, such as metasurfaces and silicon photonic components, have been
progressively demonstrated to be efficient and versatile alternatives to their bulky …
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
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 …
Such devices have typically been based on arrays of photodetectors that provide distinct …
Single-detector spectrometer using a superconducting nanowire
Designing a spectrometer without the need for wavelength multiplexing optics can effectively
reduce the complexity and physical footprint. On the basis of the computational …
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 …
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
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 …
solver-informed artificial neural network (hybrid-ANN) model with transfer learning based on …
Review of Miniaturized Computational Spectrometers
Spectrometers are key instruments in diverse fields, notably in medical and biosensing
applications. Recent advancements in nanophotonics and computational techniques have …
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 …
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
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 …
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
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 …
a single tunable interferometer provide a simple and cost-effective solution. Among various …