Junliang Liu

1 month ago | mdpi.com | Xiong Zou |Yu Yang |Junliang Liu |Tingting Sun

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Nov 25, 2024 | pubs.rsc.org | Wenwu Pan |Junliang Liu |Han Wang |Huijia Luo

Controlled growth of high-quality SnSe nanoplates assisted by machine learning† Machine learning (ML) approaches have emerged as powerful tools to accelerate materials discovery and optimization, offering a sustainable alternative to traditional trial-and-error methods in exploratory experiments. This study demonstrates the application of ML for controlled chemical vapor deposition (CVD) growth of SnSe nanoplates (NPs), a promising thermoelectric material.

Sep 6, 2024 | mdpi.com | Mo Chen |Nan Zhang |Ziyan Li |Junliang Liu

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.