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RESEARCH PAPER · Optics Letters · 2020

Design of a highly selective radiative cooling structure accelerated by materials informatics

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Design of a highly selective radiative cooling structure accelerated by materials informaticsOriginalMachine learning-optimized Tamm emitter for high-performance thermophotovoltaic system with detailed balance analysis89Designing thermal functional materials by coupling thermal transport calculations and machine learning33Ultimate impedance of coherent heat conduction in van der Waals graphene-MoS2 heterostructures35Optimization and performance analysis of a multilayer structure for daytime radiative cooling46Thermal Nanostructure Design by Materials Informatics0High-throughput screening of a high-Q mid-infrared Tamm emitter by material informatics30Machine learning approach for the prediction and optimization of thermal transport properties71Implementation of radiative cooling with an inverse-designed selective emitter6Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?5Perspective: Predicting and optimizing thermal transport properties with machine learning methods54Designing thermal radiation metamaterials via a hybrid adversarial autoencoder and Bayesian optimization14Photonic design for color compatible radiative cooling accelerated by materials informatics30Enhancing thermoelectric properties of isotope graphene nanoribbons via machine learning guided manipulation of disordered antidots and interfaces23Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast5Machine Learning Designed and Experimentally Confirmed Enhanced Reflectance in Aperiodic Multilayer Structures17Machine Learning Aided Design and Optimization of Thermal Metamaterials195Revolutionizing electronics with advanced interfacial heat management1Phase-transition metamaterial smart window for radiative cooling and privacy protection13A comprehensive review of radiative cooling technologies and their integration with Photovoltaic (PV) systems: Challenges, opportunities, and future directions37Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene13Design strategies, manufacturing, and applications of radiative cooling technologies13Synergistic solar spectrum and atmospheric window tunable VO 2 /BaF 2 photonic structure for all-season smart thermal management2

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  1. Machine learning-optimized Tamm emitter for high-performance thermophotovoltaic system with detailed balance analysis

    Nano Energy · 2020-03-12

    Run Hu, Jinlin Song, Yida Liu, Xi Wang, Yiting Zhao, Xingjian Yu, Qiang Cheng, Guangming Tao, Xiaobing Luo

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  2. Designing thermal functional materials by coupling thermal transport calculations and machine learning

    Journal of Applied Physics · 2020-10-27

    Shenghong Ju, Shuntaro Shimizu, Junichiro Shiomi

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  3. Ultimate impedance of coherent heat conduction in van der Waals graphene-MoS2 heterostructures

    Materials Today Physics · 2020-11-27

    Shiqian Hu, Shenghong Ju, Cheng Shao, J. Guo, Bin Xu, Masato Ohnishi, Junichiro Shiomi

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  4. Optimization and performance analysis of a multilayer structure for daytime radiative cooling

    Journal of Quantitative Spectroscopy and Radiative Transfer · 2020-12-11

    Mingeon Kim, Junyong Seo, Siwon Yoon, Heon Lee, Jungchul Lee, Bong Jae Lee

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  5. Thermal Nanostructure Design by Materials Informatics

    Springer series in materials science · 2021-01-01

    Run Hu, Junichiro Shiomi

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  6. High-throughput screening of a high-Q mid-infrared Tamm emitter by material informatics

    Optics Letters · 2021-01-26

    Xi Wang, Yida Liu, Jinlin Song, Run Hu, Xiaobing Luo

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  7. Machine learning approach for the prediction and optimization of thermal transport properties

    Frontiers of Physics · 2021-02-11

    Yulou Ouyang, Cuiqian Yu, Gang Feng Yan, Jie Chen

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  8. Implementation of radiative cooling with an inverse-designed selective emitter

    Optics Communications · 2021-06-17

    Xinpeng Jiang, Hansi Ma, Jie Huang, Dingbo Chen, Zhaojian Zhang, Junbo Yang

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  9. Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?

    Applied Optics · 2021-08-19

    Olga E. Sarmanova, Kirill A. Laptinskiy, Sergey Burikov, Maria Yu. Khmeleva, Anna A. Fedyanina, Alexandra E. Tomskaya, Alexander Efitorov, S. A. Dolenko, Tatiana A. Dolenko

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  10. Perspective: Predicting and optimizing thermal transport properties with machine learning methods

    Energy and AI · 2022-03-12

    Wei Han, Hua Bao, Xiulin Ruan

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  11. Designing thermal radiation metamaterials via a hybrid adversarial autoencoder and Bayesian optimization

    Optics Letters · 2022-06-15

    Dezhao Zhu, Jiang Guo, Gang Yu, Changying Zhao, Hong Wang, Shenghong Ju

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  12. Photonic design for color compatible radiative cooling accelerated by materials informatics

    International Journal of Heat and Mass Transfer · 2022-07-05

    Jiang Guo, Shenghong Ju, Yaerim Lee, A. Alperen Günay, Junichiro Shiomi

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  13. Enhancing thermoelectric properties of isotope graphene nanoribbons via machine learning guided manipulation of disordered antidots and interfaces

    International Journal of Heat and Mass Transfer · 2022-08-19

    Xiang Yi Huang, Shengluo Ma, Haidong Wang, Shangchao Lin, Changying Zhao, Hong Wang, Shenghong Ju

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  14. Data-driven design of multilayer hyperbolic metamaterials for near-field thermal radiative modulator with high modulation contrast

    International Journal of Heat and Mass Transfer · 2023-10-31

    Tuwei Liao, Changying Zhao, Hong Wang, Shenghong Ju

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  15. Machine Learning Designed and Experimentally Confirmed Enhanced Reflectance in Aperiodic Multilayer Structures

    Advanced Optical Materials · 2023-12-08

    Prabudhya Roy Chowdhury, Krutarth Khot, Jiawei Song, Zihao He, David Kortge, Zherui Han, Peter A. Bermel, Haiyan Wang, Xiulin Ruan

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  16. Machine Learning Aided Design and Optimization of Thermal Metamaterials

    Chemical Reviews · 2024-03-28

    Changliang Zhu, Emmanuel Anuoluwa Bamidele, Xiangying Shen, Guimei Zhu, Baowen Li

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  17. Revolutionizing electronics with advanced interfacial heat management

    Nature Reviews Electrical Engineering · 2024-07-17

    Yen‐Ju Wu

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  18. Phase-transition metamaterial smart window for radiative cooling and privacy protection

    Optics Express · 2024-10-16

    Linsong Wu, Shujing Chen, Chengyou Lin

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  19. A comprehensive review of radiative cooling technologies and their integration with Photovoltaic (PV) systems: Challenges, opportunities, and future directions

    Solar Energy · 2025-03-26

    Kehinde Temitope Alao, Syed Ihtsham Ul-Haq Gilani, Kamaruzzaman Sopian, Taiwo Onaopemipo Alao, Zeshan Aslam

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  20. Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene

    npj Computational Materials · 2025-06-23

    Jingwen Wang, Zheng Zhu, Tianran Jiang, Ke Chen

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  21. Design strategies, manufacturing, and applications of radiative cooling technologies

    Nanophotonics · 2025-07-01

    J.S. Kang, Changkyun Lee, Haejun Chung, Peter A. Bermel

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  22. Synergistic solar spectrum and atmospheric window tunable VO 2 /BaF 2 photonic structure for all-season smart thermal management

    Optics Express · 2025-10-24

    JIAYU LIU, Chengyou Lin

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