Creating 3D nanoparticle structural space via data augmentation to bidirectionally predict nanoparticle mixture’s purity, size, and shape from extinction spectra

• Main Authors: Tan, Emily Xi, Tang, Jingxiang, Leong, Yong Xiang, Phang, In Yee, Lee, Yih Hong, Pun, Chi Seng, Ling, Xing Yi
• 其他作者: School of Chemistry, Chemical Engineering and Biotechnology
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Chemistry; Silvernanocubes; Nanocharacterization
• 在線閱讀: https://hdl.handle.net/10356/175860
• 機構: Nanyang Technological University

Nanoparticle (NP) characterization is essential because diverse shapes, sizes, and morphologies inevitably occur in as-synthesized NP mixtures, profoundly impacting their properties and applications. Currently, the only technique to concurrently determine these structural parameters is electron micr...