光热治疗
红外线的
材料科学
钙钛矿(结构)
光电子学
纳米晶
煅烧
光热效应
近红外光谱
石墨烯
限制
发光
辐照
纳米技术
能量转换效率
发光二极管
纳米尺度
理论(学习稳定性)
纳米结构
光通信
作者
Xinjie Jiang,Hanyan Huang,Kehao Wang,Xingliang Dai,Zhizhen Ye,Haiping He,Chao Fan
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-10-03
卷期号:19 (40): 35787-35796
被引量:1
标识
DOI:10.1021/acsnano.5c12343
摘要
Conventional infrared photothermal materials (IR-PTMs) face significant challenges regarding environmental stability and complex synthesis, limiting their practical applications. In this work, we report silica-confined CsSnI3 perovskite nanocrystals (CsSnI3@silica NCs) via a simple solid-state calcination method. The silica-confined structure endows CsSnI3@silica NCs with a high near-infrared (NIR) photothermal performance and environmental stability. Accelerated aging tests under high humidity, high temperature, and intense NIR irradiation demonstrate the better stability of CsSnI3@silica NCs compared to unconfined CsSnI3 powders and commercial graphene IR-PTM. A noncontact NIR light communication system is designed by combining CsSnI3@silica NC-based photothermal imaging with machine learning. This system achieves 99.7% accuracy in recognizing symbol (letters and numbers) images written by NIR light and enables robotic arm manipulation for noncontact human–robot interaction. Furthermore, incorporating these CsSnI3@silica NCs as a light-absorption layer in a sunlight–thermal–electric conversion system can enhance the output voltage by over 350% throughout a continuous six-month outdoor exposure period.
科研通智能强力驱动
Strongly Powered by AbleSci AI