Understanding the Compositional Control on Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses with Interpretable Machine Learning-Reference-Cited by-同舟云学术

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Understanding the Compositional Control on Electrical, Mechanical, Optical, and Physical Properties of Inorganic Glasses with Interpretable Machine Learning

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Bhattoo Ravinder,Bishnoi Suresh,Zaki Mohd,Krishnan N M Anoop

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference56 articles.

1. Grand challenges in glass science;J C Mauro;Glass Sci,2014

2. Two Centuries of Glass Research: Historical Trends, Current Status, and Grand Challenges for the Future;J C Mauro;Int. J. Appl. Glass Sci,2014

3. THE ATOMIC ARRANGEMENT IN GLASS;W H Zachariasen;J. Am. Chem. Soc,1932

4. Bioactive glasses-structure and properties;D S Brauer;Angew. Chem. Int. Ed,2015

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning unveils composition-property relationships in chalcogenide glasses;Acta Materialia;2022-11

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