Machine Learning-Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis
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Lai, Fuming; Sun, Zhehao; Saji, Sandra; He, Yichuan; Yu, Xuefeng; Zhao, Haitao; Guo, Haibo; Yin, Zongyou
Description
Crystallographic facets in a crystal carry interior properties and proffer rich functionalities in a wide range of application areas. However, rational prediction, on-demand customization, and accurate synthesis of facets and facet junctions of a crystal are enormously desirable but still challenging. Herein, a framework of machine learning (ML)-aided crystal facet design with ionic liquid controllable synthesis is developed and then demonstrated with the star-material anatase TiO2. Aided by...[Show more]
Collections | ANU Research Publications |
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Date published: | 2021 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/276126 |
Source: | Small |
DOI: | 10.1002/smll.202100024 |
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Small - 2021 - Lai - Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis.pdf | 5.73 MB | Adobe PDF | Request a copy |
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