Computationally assisted multistage design and prediction driving the discovery of deep-ultraviolet nonlinear optical materials
Author:
Affiliation:
1. CAS Key Laboratory of Functional Materials and Devices for Special Environments
2. Xinjiang Technical Institute of Physics & Chemistry
3. CAS; Xinjiang Key Laboratory of Electronic Information Materials and Devices
4. Urumqi 830011
5. China
Abstract
The property-driven materials multistage design process from analytical method development, functional groups, module to functional layer analysis and structural prediction is described to explore new deep-ultraviolet nonlinear optical materials.
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,General Materials Science
Link
http://pubs.rsc.org/en/content/articlepdf/2021/QM/D0QM01109F
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