Materials Informatics Screening of Li‐Rich Layered Oxide Cathode Materials with Enhanced Characteristics Using Synthesis Data-Reference-Cited by-同舟云学术

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Materials Informatics Screening of Li‐Rich Layered Oxide Cathode Materials with Enhanced Characteristics Using Synthesis Data

Published:2020-02-03 Issue:5 Volume:3 Page:427-438
ISSN:2566-6223
Container-title:Batteries & Supercaps
language:en
Short-container-title:Batteries & Supercaps

Author:

Kireeva Natalia¹²,Pervov Vladislav S.³

Affiliation:

1. Frumkin Institute of Physical Chemistry and Electrochemistry RAS 31, Leninsky prospect Moscow 119071 Russian Federation

2. Moscow Institute of Physics and Technology 9, Institutsky per., Dolgoprudny Moscow Region 141701 Russian Federation

3. Kurnakov Institute of General and Inorganic Chemistry RAS 31, Leninsky prospect Moscow 119071 Russian Federation

Funder

Russian Foundation for Basic Research

Publisher

Wiley

Subject

Electrochemistry,Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/batt.201900186

Reference86 articles.

1. Accelerating the discovery of materials for clean energy in the era of smart automation

2. Predicting crystal structure by merging data mining with quantum mechanics

3. Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC

4. Machine learning for autonomous crystal structure identification

5. Phases and Interfaces from Real Space Atomically Resolved Data: Physics-Based Deep Data Image Analysis

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