Machine Learning-Assisted Materials Design and Discovery of Low-Melting-Point Inorganic Oxides for Low-Temperature Cofired Ceramic Applications-Reference-Cited by-同舟云学术

Machine Learning-Assisted Materials Design and Discovery of Low-Melting-Point Inorganic Oxides for Low-Temperature Cofired Ceramic Applications

Published:2022-01-20 Issue:4 Volume:10 Page:1554-1564
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Qin Jincheng¹²,Liu Zhifu¹^ORCID,Ma Mingsheng¹^ORCID,Li Yongxiang³

Affiliation:

1. CAS Key Laboratory of Inorganic Functional Materials and Devices, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai 201899, China

2. Center of Materials Science and Optoelectronics Engineering, The University of Chinese Academy of Sciences, Beijing 100049, China

3. School of Engineering, RMIT University, Melbourne, Victoria 3001, Australia

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Natural Science Foundation of China

Shanghai Rising-Star Program

Guangdong Province

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.1c06983

Reference55 articles.

1. Low temperature co-fired ceramics with ultra-low sintering temperature: A review

2. Processing and Dielectric Properties of Sillenite Compounds Bi12MO20−δ(M = Si, Ge, Ti, Pb, Mn, B1/2P1/2)

3. Towards rational design of low-temperature co-fired ceramic (LTCC) materials

4. Low-loss dielectric ceramic materials and their properties

5. Improved microwave dielectric properties of CaMgSi2O6 ceramics through CuO doping

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