Research graph
References from Performance prediction of VO2-based smart radiation devices through semi-self-supervised learning with phase transition adaptation. Local targets link to admitted publications; unresolved targets remain external evidence.
Terrestrial radiative cooling: using the cold universe as a renewable and sustainable energy source
10.1126/science.abb0971 · 2020 · External reference
Radiative cooling: a review of fundamentals, materials, applications, and prospects
10.1016/j.apenergy.2018.12.018 · 2019 · External reference
Radiative sky cooling: fundamental principles, materials, and applications
10.1063/1.5087281 · 2019 · External reference
Scalable-manufactured randomized glass-polymer hybrid metamaterial for daytime radiative cooling
10.1126/science.aai7899 · 2017 · External reference
Scalable thermochromic smart windows with passive radiative cooling regulation
10.1126/science.abg0291 · 2021 · External reference
Temperature-adaptive radiative coating for all-season household thermal regulation
10.1126/science.abf7136 · 2021 · External reference
An optimized self-adaptive thermal radiation turn-down coating with vanadium dioxide nanowire array
10.1016/j.ijheatmasstransfer.2022.122835 · 2022 · External reference
Vanadium dioxide based Fabry-Perot emitter for dynamic radiative cooling applications
10.1016/j.jqsrt.2017.01.014 · 2017 · External reference
Passive temperature control based on a phase change metasurface
10.1038/s41598-018-26150-9 · 2018 · External reference
Investigation of the Fabry-Perot dip shift in VCSEL photoluminescence near-infrared reflection spectra
10.1007/s11082-018-1434-z · 2018 · External reference
An optimized self-adaptive thermal radiation turn-down coating with vanadium dioxide nanowire array
10.1016/j.ijheatmasstransfer.2022.122835 · 2022 · External reference
VO2-Based infrared radiation regulator with excellent dynamic thermal management performance
10.1021/acsami.1c17914 · 2022 · External reference
Deep learning for the modeling and inverse design of radiative heat transfer
10.1103/physrevapplied.16.064006 · 2021 · External reference
Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization
10.1063/1.5134792 · 2020 · External reference
Deep neural network-based heat radiation modelling between particles and between walls and particles
10.1016/j.ijheatmasstransfer.2021.121557 · 2021 · External reference
Design of a broadband solar thermal absorber using a deep neural network and experimental demonstration of its performance
2019 · External reference
Deep convolutional mixture density network for inverse design of layered photonic structures
10.1021/acsphotonics.0c00630 · 2020 · External reference
Multilayer optical thin film design with deep Q learning
10.1038/s41598-020-69754-w · 2020 · External reference
Data-driven design of thin-film optical systems using deep active learning
10.1364/oe.459295 · 2022 · External reference
Fabrication of VO2-based multilayer structure with variable emittance
10.1016/j.apsusc.2015.03.116 · 2015 · External reference
Training deep neural networks for the inverse design of nanophotonic structures
10.1021/acsphotonics.7b01377 · 2018 · External reference
Nanophotonic particle simulation and inverse design using artificial neural networks
10.1126/sciadv.aar4206 · 2018 · External reference
Deep-learning-enabled on-demand design of chiral metamaterials
10.1021/acsnano.8b03569 · 2018 · External reference
Finding the optical properties of plasmonic structures by image processing using a combination of convolutional neural networks and recurrent neural networks
10.1038/s41378-019-0069-y · 2019 · External reference
Deep learning the electromagnetic properties of metamaterials—a comprehensive review
10.1002/adfm.202101748 · 2021 · External reference
Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
10.1515/nanoph-2018-0183 · 2019 · External reference
VO2-based smart coatings with improved emittance-switching properties for an energy-efficient near room-temperature thermal control of spacecrafts
10.1016/j.solmat.2013.07.023 · 2013 · External reference
A thermal radiation modulation platform by emissivity engineering with graded metal-insulator transition
10.1002/adma.201907071 · 2020 · External reference
Effects of W doping on the metal–insulator transition in vanadium dioxide film
10.1016/j.physb.2009.09.083 · 2010 · External reference
A facile method for the preparation of W-doped VO2 films with lowered phase transition temperature, narrowed hysteresis loops and excellent cycle stability
10.1016/j.matchemphys.2018.05.018 · 2018 · External reference
In situ preparation of VO2 films with controlled ionized flux density in HiPIMS and their regulation of thermal radiance
10.1021/acsaelm.0c00383 · 2020 · External reference
Reliable determination of chemical state in x-ray photoelectron spectroscopy based on sample-work-function referencing to adventitious carbon: resolving the myth of apparent constant binding energy of the C 1s peak
10.1016/j.apsusc.2018.04.226 · 2018 · External reference
A redox-active 2D metal–organic framework for efficient lithium storage with extraordinary high capacity
10.1002/anie.201914395 · 2020 · External reference
C 1s peak of adventitious carbon aligns to the vacuum level: dire consequences for Material's bonding assignment by photoelectron spectroscopy
10.1002/cphc.201700126 · 2017 · External reference
Self-templated method to fabricate VO2 nanoparticles with ultrahigh luminous transmittance for energy-efficient thermochromic windows
10.1016/j.apsusc.2022.153267 · 2022 · External reference
Facile preparation of double-sided VO2 (M) films with micro-structure and enhanced thermochromic performances
10.1016/j.solmat.2016.10.025 · 2017 · External reference
Epitaxial grown VO2 with suppressed hysteresis and low room temperature resistivity for high-performance thermal sensor applications
10.1021/acsanm.2c05297 · 2023 · External reference
Surface and interface analysis of PTCDA/ITO using X-ray photoelectron spectroscopy (XPS)
2006 · External reference
DAEN: deep autoencoder networks for hyperspectral unmixing
10.1109/tgrs.2018.2890633 · 2019 · External reference
A novel deep autoencoder feature learning method for rotating machinery fault diagnosis
10.1016/j.ymssp.2017.03.034 · 2017 · External reference
Deep feature learning for medical image analysis with convolutional autoencoder neural network
10.1109/tbdata.2017.2717439 · 2021 · External reference
Time-lagged autoencoders: deep learning of slow collective variables for molecular kinetics
10.1063/1.5011399 · 2018 · External reference
Deep generative modelling: a comparative review of VAEs, GANs, normalizing flows, energy-based and autoregressive models
10.1109/tpami.2021.3116668 · 2022 · External reference
Deep generative modeling for mechanistic-based learning and design of metamaterial systems
2020 · External reference
Probabilistic representation and inverse design of metamaterials based on a deep generative model with semi-supervised learning strategy
10.1002/adma.201901111 · 2019 · External reference
Deep learning reveals underlying physics of light–matter interactions in nanophotonic devices
10.1002/adts.201900088 · 2019 · External reference
Thermochromic VO2 film deposited on Al with tunable thermal emissivity for space applications
10.1016/j.solmat.2011.08.014 · 2011 · External reference
VO2 thermochromic metamaterial-based smart optical solar reflector
10.1021/acsphotonics.8b00119 · 2018 · External reference
In situ preparation of VO2 films with controlled ionized flux density in HiPIMS and their regulation of thermal radiance
10.1021/acsaelm.0c00383 · 2020 · External reference
Further explore on the behaviors of IR electrochromism of a double layer constructed by proton acid-doped polyaniline film and ITO layer
10.1016/j.dyepig.2019.107570 · 2019 · External reference
Room temperature phase transition of W-Doped VO2 by atomic layer deposition on 200 mm Si wafers and flexible substrates
10.1002/adom.202201326 · 2022 · External reference
