Photonic design for color compatible radiative cooling accelerated by materials informatics

Guo, Jiaqi; Ju, Shenghong; Lee, Yaerim; Günay, Ahmet Alperen; Shiomi, Junichiro

doi:10.1016/j.ijheatmasstransfer.2022.123193

Cited by 18 publications

(13 citation statements)

References 41 publications

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“…[ 186 ] Much effort has been devoted to develop different types of CRC, including multi‐layer structured materials, [ 183,187–189 ] core–shell nanoparticles, [ 84 ] nanocrystals, [ 190 ] photoluminescence materials, [ 33 ] nanoparticle‐based inks, [ 191 ] and multileveled micro/nanostructure materials. [ 176,192–195 ]…”

Section: Materials Engineering Of Passive Daytime Radiative Coolingmentioning

confidence: 99%

“…[186] Much effort has been devoted to develop different types of CRC, including multi-layer structured materials, [183,[187][188][189] core-shell nanoparticles, [84] nanocrystals, [190] photoluminescence materials, [33] nanoparticle-based inks, [191] and multileveled micro/nanostructure materials. [176,[192][193][194][195] By introducing optical Tamm resonance, a CRC fabricated by Sheng et al [187] featured ideal cooling performance and highpurity subtractive primary colors simultaneously. This CRC was composed of three layers (SiO 2 +SiN+SiO 2 ) and color controlling structure consisting of four alternating layers of c) Reproduced with permission.…”

Section: Colored Radiative Cooling Materialsmentioning

confidence: 99%

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Recent Advances in Material Engineering and Applications for Passive Daytime Radiative Cooling

Cao

et al. 2022

Advanced Optical Materials

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Figure 1. Outline of the current review of PDRC. The inner layer represents the essential factors that dictate the performance of the PDRC emitter, whereas the middle layer includes the representative types of materials for constructing the PDRC emitter, and the outer layer represents various realworld applications of the PDRC emitter. In the middle layer: multilayered inorganic materials (reproduced with permission. [13]

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Section: Materials Engineering Of Passive Daytime Radiative Coolingmentioning

confidence: 99%

Section: Colored Radiative Cooling Materialsmentioning

confidence: 99%

Recent Advances in Material Engineering and Applications for Passive Daytime Radiative Cooling

Cao

et al. 2022

Advanced Optical Materials

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“…The realization of colored daytime radiative coolers (CDRCs) with diverse colors is appealing but highly challenging. Though some theoretical proposals have been raised, − experimental demonstrations are still few. The recent efforts to experimentally realize CDRCs mainly adopted the strategies of dye coloring, structural color, and photoluminescence (PL). − Dyes and pigments enable the diverse colors, while the products are not good candidates for subambient cooling due to their considerable absorption in the near infrared at 0.78–2.5 μm .…”

Section: Introductionmentioning

confidence: 99%

Scalable Colored Subambient Radiative Coolers Based on a Polymer–Tamm Photonic Structure

Huang

Chen

Huang

et al. 2023

ACS Appl. Mater. Interfaces

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Daytime radiative coolers cool objects below the air temperature without any electricity input, while most of them are limited by a silvery or whitish appearance. Colored daytime radiative coolers (CDRCs) with diverse colors, scalable manufacture, and subambient cooling have not been achieved. We introduce a polymer−Tamm photonic structure to enable a high infrared emittance and an engineered absorbed solar irradiance, governed by the quality factor (Q-factor). We theoretically determine the theoretical thresholds for subambient cooling through yellow, magenta, and cyan CDRCs. We experimentally fabricate and observe a temperature drop of 2.6−8.8 °C on average during the daytime and 4.0−4.4 °C during the nighttime. Furthermore, we demonstrate a scalable-manufactured magenta CDRC with a width of 60 cm and a length of 500 cm by a roll-to-roll deposition technique. This work provides guidelines for large-scale CDRCs and offers unprecedented opportunities for potential applications with energysaving, aesthetic, and visual comfort demands.

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“…However, it is challenging to design structural color-based CRC films, since subtle alteration of materials and structures may lead to significant changes in solar reflectivity and LWIR emissivity, thereby affecting both color generation and cooling performance. Although some optimization methods have been used to design CRC films, including genetic algorithm, memetic algorithm, and Bayesian optimization, they rely on a sequential process to iteratively improve the quality of intermediate designs. Each optimization run usually requires hours or even days, and it is specific to a single target color.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Enabled Inverse Design of Radiative Cooling Film with On-Demand Transmissive Color

et al. 2023

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Passive radiative cooling is a cost-efficient and eco-friendly approach to cool terrestrial objects by dissipating heat to the outer space. Colored radiative cooling (CRC) has many advantages over conventional passive radiative cooling and has garnered growing interest recently. However, existing CRC films are normally opaque, where the incident sunlight is either reflected for rendering color or absorbed to generate waste heat. In this work, we design a transmissive CRC film that allows a specific portion of light to pass through and provides more vivid colors. Such a transmissive film achieves the coloration and cooling dual-function by stacking a solar transparent selective emitter on top of a nanocavity-based color filter. The top emitter is first designed by using a mixed-integer memetic algorithm, where the layer materials, their number sequence, and thicknesses are simultaneously optimized. The variability in both material composition and layer thickness enables the emitter with a near-ideal emissivity in the atmospheric windows for subambient cooling, and an ultrahigh transmissivity in the solar range for sunlight penetration. Then, the structures of bottom nanocavity are determined by using a tandem neural network for on-demand color generation. This machine learning-assisted inverse design approach provides real-time structure prediction for on-demand colors and offers great flexibility in balancing the cooling and coloring functionalities. The proposed methodology can have special significance in broadening the application of passive radiative coolers in energy-efficient buildings, power-generating windows, and sustainable greenhouses.

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Photonic design for color compatible radiative cooling accelerated by materials informatics

Cited by 18 publications

References 41 publications

Recent Advances in Material Engineering and Applications for Passive Daytime Radiative Cooling

Recent Advances in Material Engineering and Applications for Passive Daytime Radiative Cooling

Scalable Colored Subambient Radiative Coolers Based on a Polymer–Tamm Photonic Structure

Machine Learning-Enabled Inverse Design of Radiative Cooling Film with On-Demand Transmissive Color

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