Journal of Colloid and Interface Science, Год журнала: 2024, Номер 680, С. 345 - 354
Опубликована: Ноя. 2, 2024
Язык: Английский
Journal of Colloid and Interface Science, Год журнала: 2024, Номер 680, С. 345 - 354
Опубликована: Ноя. 2, 2024
Язык: Английский
Composites Part B Engineering, Год журнала: 2024, Номер 283, С. 111669 - 111669
Опубликована: Июль 1, 2024
Язык: Английский
Процитировано
9Gels, Год журнала: 2025, Номер 11(1), С. 70 - 70
Опубликована: Янв. 16, 2025
The escalating global climate crisis and energy challenges have made the development of efficient radiative cooling materials increasingly urgent. This study presents a machine-learning-based model for predicting performance aerogels (RCAs). integrated multiple parameters, including material composition (matrix type proportions), modification design (modifier content), optical properties (solar reflectance infrared emissivity), environmental factors irradiance ambient temperature) to achieve accurate predictions. A comparative analysis various machine learning algorithms revealed that an optimized XGBoost demonstrated superior predictive performance, achieving R2 value 0.943 RMSE 1.423 test dataset. An interpretability using Shapley additive explanations (SHAPs) identified ZnO modifier (SHAP value, 1.523) parameters (ambient temperature, 1.299; solar irradiance, 0.979) as most significant determinants performance. feature interaction further elucidated complex interplay between conditions, providing theoretical guidance optimization.
Язык: Английский
Процитировано
1Chemical Engineering Journal, Год журнала: 2024, Номер 493, С. 152660 - 152660
Опубликована: Май 29, 2024
Язык: Английский
Процитировано
7Composites Part B Engineering, Год журнала: 2024, Номер 287, С. 111831 - 111831
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
6Composites Part A Applied Science and Manufacturing, Год журнала: 2024, Номер 185, С. 108373 - 108373
Опубликована: Июль 23, 2024
Язык: Английский
Процитировано
5Carbohydrate Polymers, Год журнала: 2025, Номер 353, С. 123259 - 123259
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
0Small, Год журнала: 2025, Номер unknown
Опубликована: Апрель 3, 2025
In modern architecture, windows are increasingly employed as curtain wall structures, playing a critical approach in regulating indoor environments to reduce building energy consumption. Meanwhile, the demands for transparency and flame retardancy present significant challenges guaranteeing people's privacy safety. response, two-layer "smart window" is designed achieve thermal management, protection, fire safety, through leveraging photo-thermal effect of MXene nanosheets, phase change characteristic fatty alcohol, flame-retardant tetrabromobisphenol A (TBBPA). daytime, not only absorbs solar mitigate its heating on temperatures an average decrease ≈4.2 °C but also facilitates melting alcohol provide optimal daylighting conditions (transmissivity 65.0%). nighttime, solidified prevents light transmittance (modulation 30.6%) significantly enhances deviation protect personal privacy. Besides, TBBPA dissolved effectively safety performance windows" without sacrificing transparency. Most importantly, manufacturing extremely simple advantages compared other windows", promoting practical application emerging buildings terms saving,
Язык: Английский
Процитировано
0Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 162195 - 162195
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Materials Today Physics, Год журнала: 2025, Номер unknown, С. 101721 - 101721
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Ceramics International, Год журнала: 2024, Номер 50(22), С. 46589 - 46599
Опубликована: Сен. 3, 2024
Язык: Английский
Процитировано
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