Self‐Switching Dynamic Infrared Radiative Cooler Enabling Triple‐Mode Temperature Regulation

Passive radiative cooling offers zero-energy heat dissipation, yet static photonic structures fail in multi-scenario applications due to distinct or even incompatible requirements of infrared emission spectra across different thermal environments. Herein, a self-switching dynamic infrared radiative cooler (DIRC) is proposed that achieves triple-mode temperature regulation, including sub-ambient, near-ambient, and above-ambient cooling application. By leveraging temperature-triggered directional migration of broadband emission water molecules within thermoresponsive hydrogel, the spectral conversion between infrared selective emission for sub-ambient cooling and broadband emission for above-ambient cooling is realized. The resulting DIRC exhibits an average broadband emissivity of 94.1% across 2.5-25 µm and adaptively switches to a selective emissivity of 81.6% within the 8-13 µm, solar reflectivity maintains ≈90% during spectral conversion. The spectral transition is rapid and autonomous, with response times between 85.6 and 37.3 s across 35-45 °C temperature range. Notably, triple-mode thermal-regulated DIRC achieves a sub-ambient cooling of 9.5 °C for building thermal management, near-ambient cooling of 7.0 °C for enhanced personal comfort, and above-ambient cooling of 6.9 °C for photovoltaic panels. By overcoming the single-scenario and weather conditions limitations of static designs, the proposed DIRC represents a versatile strategy for triple-mode thermal regulation across a wide applications.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2025-09-26
DOI
https://doi.org/10.1002/adma.202511445
Citations
2
Primary Topic
Thermal Radiation and Cooling Technologies
Type
article
Field-Weighted Citation Impact
1.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self‐Switching Dynamic Infrared Radiative Cooler Enabling Triple‐Mode Temperature Regulation

Jinru Liu, Zhiping Mao, Bolin Ji, Xiaoyun Yan et al.
2 citations
Advanced Materials
Thermal Radiation and Cooling Technologies
1.91
article

Self‐Switching Dynamic Infrared Radiative Cooler Enabling Triple‐Mode Temperature Regulation

Jinru Liu, Zhiping Mao, Bolin Ji, Xiaoyun Yan, Hong Xu, Xueling Feng, Wei Wu, Linping Zhang, Yi Ping Zhong, Bijia Wang
article en
2 citations

Abstract

Passive radiative cooling offers zero-energy heat dissipation, yet static photonic structures fail in multi-scenario applications due to distinct or even incompatible requirements of infrared emission spectra across different thermal environments. Herein, a self-switching dynamic infrared radiative cooler (DIRC) is proposed that achieves triple-mode temperature regulation, including sub-ambient, near-ambient, and above-ambient cooling application. By leveraging temperature-triggered directional migration of broadband emission water molecules within thermoresponsive hydrogel, the spectral conversion between infrared selective emission for sub-ambient cooling and broadband emission for above-ambient cooling is realized. The resulting DIRC exhibits an average broadband emissivity of 94.1% across 2.5-25 µm and adaptively switches to a selective emissivity of 81.6% within the 8-13 µm, solar reflectivity maintains ≈90% during spectral conversion. The spectral transition is rapid and autonomous, with response times between 85.6 and 37.3 s across 35-45 °C temperature range. Notably, triple-mode thermal-regulated DIRC achieves a sub-ambient cooling of 9.5 °C for building thermal management, near-ambient cooling of 7.0 °C for enhanced personal comfort, and above-ambient cooling of 6.9 °C for photovoltaic panels. By overcoming the single-scenario and weather conditions limitations of static designs, the proposed DIRC represents a versatile strategy for triple-mode thermal regulation across a wide applications.

Advanced MaterialsVol. 38(3)
Donghua University (CN), Cloud Computing Center (CN)
Openalex Percentile: Top 13%
Thermal Radiation and Cooling Technologies
1.91
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.