Computational discovery of energy materials in the era of big data and machine learning: A critical review-Reference-Cited by-同舟云学术

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Computational discovery of energy materials in the era of big data and machine learning: A critical review

Published:2021-08 Issue:3 Volume:1 Page:100047
ISSN:2666-9358
Container-title:Materials Reports: Energy
language:en
Short-container-title:Materials Reports: Energy

Author:

Lu Ziheng

Publisher

Elsevier BV

Subject

General Health Professions

Reference227 articles.

1. Plausible energy demand patterns in a growing global economy with climate policy;Semieniuk;Nat Clim Change,2021

2. Global Energy Outlook Comparison Methods: 2020 Update;Newell,2020

3. Fundamentals of inorganic solid-state electrolytes for batteries;Famprikis;Nat Mater,2019

4. Lithium battery chemistries enabled by solid-state electrolytes;Manthiram;Nat. Rev. Mater.,2017

5. Manufacturing Scalability Implications of Materials Choice in Inorganic Solid-State Batteries;Huang,2021

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