Skip navigation
Skip navigation

Machine Learning-Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis

Lai, Fuming; Sun, Zhehao; Saji, Sandra; He, Yichuan; Yu, Xuefeng; Zhao, Haitao; Guo, Haibo; Yin, Zongyou


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]

CollectionsANU Research Publications
Date published: 2021
Type: Journal article
Source: Small
DOI: 10.1002/smll.202100024


File Description SizeFormat Image
Small - 2021 - Lai - Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis.pdf5.73 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator