Charge–discharge properties of LiMn <sub>2</sub> O <sub>4</sub> -group positive electrode active materials for lithium-ion batteries using high-throughput experimental screening and machine learning models-Reference-Cited by-同舟云学术

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Charge–discharge properties of LiMn ₂ O ₄ -group positive electrode active materials for lithium-ion batteries using high-throughput experimental screening and machine learning models

Published:2023-10-02 Issue:1 Volume:3 Page:
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Tajima Shin¹^ORCID,Umehara Mitsutaro¹,Takechi Kensuke

Affiliation:

1. Entrepreneurs Research-Domain Toyota Central R&D Labs., Inc., Aichi, Japan

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/27660400.2023.2260299

Reference53 articles.

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

2. Use machine learning to find energy materials

3. CO hydrogenation to methanol on Cu–Ni catalysts: Theory and experiment

4. Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach

5. Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization

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1. Correction;Science and Technology of Advanced Materials: Methods;2024-02-16

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