Takeshita Satoru, Mine Shinya, Ono Takumi
Research Institute for Chemical Process Technology, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba Central 5, 1-1-1 Higashi, Tsukuba, 3058565, Japan.
Research Institute for Chemical Process Technology, National Institute of Advanced Industrial Science and Technology (AIST), 4-2-1 Nigatake, Miyagino-ku, Sendai, 9838551, Japan.
Angew Chem Int Ed Engl. 2025 Jul 7;64(28):e202504250. doi: 10.1002/anie.202504250. Epub 2025 Jun 5.
A thoroughly data-driven review on the chemistry, properties, and applications of aerogels is provided. Aerogel is a category of solid materials having homogeneous, highly porous nanostructures. Unique physicochemical properties of aerogels have attracted much attention in wide fields due to their potentials for energy/environmental issues in the 21st century, while an exponentially increasing number of papers are causing an academic fever and unreliable data issues. Statistical analysis based on an exhaustive literature survey from almost all the papers with "aerogel" in their titles reveals a flood of freeze-dried aerogels mainly consisting of organic polymers and organic-inorganic composites. Process-property data from polymer aerogel papers are analyzed by a machine-learning approach aiming to establish data infrastructure toward future aerogel studies. Data-evidenced critical discussion specifies a tendency in unreliable thermal conductivity data of these papers.
本文对气凝胶的化学性质、特性及应用进行了全面的数据驱动综述。气凝胶是一类具有均匀、高度多孔纳米结构的固体材料。由于气凝胶在21世纪能源/环境问题方面的潜力，其独特的物理化学性质在广泛领域引起了诸多关注，同时，论文数量呈指数级增长引发了学术热潮和数据不可靠问题。基于对几乎所有标题中含有“气凝胶”的论文进行详尽文献调查的统计分析表明，大量的冻干气凝胶主要由有机聚合物和有机-无机复合材料组成。通过机器学习方法分析了聚合物气凝胶论文中的工艺-性能数据，旨在为未来的气凝胶研究建立数据基础设施。基于数据的批判性讨论明确了这些论文中热导率数据不可靠的一种趋势。
