Computationally assisted multistage design and prediction driving the discovery of deep-ultraviolet nonlinear optical materials-Reference-Cited by-同舟云学术

Computationally assisted multistage design and prediction driving the discovery of deep-ultraviolet nonlinear optical materials

Published:2021 Issue:9 Volume:5 Page:3507-3523
ISSN:2052-1537
Container-title:Materials Chemistry Frontiers
language:en
Short-container-title:Mater. Chem. Front.

Author:

Yang Zhihua¹²³⁴⁵^ORCID,Pan Shilie¹²³⁴⁵^ORCID

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

Reference191 articles.

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