A low-cost, scalable aerogel evaporator via machine learning-assisted steel needle templating for solar desalination

Journal of Materials Chemistry A 2026

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Authors: Xinhao Yan, Zhuo Liu, Ting Shu, Yuliang Zhang, Zhiyan Li, Rong Bao, Xueting Chang, Yanhua Lei, Xiaobo Chen
DOI: 10.1039/d5ta09197g
Cited by: 2
References: 67

Abstract

This study presents a low-cost, scalable needle-templated method to fabricate a D1.4N8-GSA evaporator with vertical channels, achieving high evaporation efficiency and rate, superior to evaporators fabricated by unidirectional freezing.

Fields of Study & Subjects

Solar-Powered Water Purification Methods Membrane Separation Technologies Adsorption and Cooling Systems

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
18
Pages
11030–11045
Publication date
1 January 2026
Language
EN