Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data-Reference-Cited by-同舟云学术

Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data

Published:2023 Issue:7 Volume:2 Page:1014-1021
ISSN:2753-1457
Container-title:Energy Advances
language:en
Short-container-title:Energy Adv.

Author:

Tobita Haruka¹,Namiuchi Yuki²,Komura Takumi¹,Imai Hiroaki¹^ORCID,Obinata Koki³,Okada Masato³^ORCID,Igarashi Yasuhiko²^ORCID,Oaki Yuya¹^ORCID

Affiliation:

1. Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan

2. Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, Japan

3. Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa 277-8561, Japan

Abstract

A capacity prediction model for organic anode active materials was constructed using sparse modeling for small data. The new model was validated in terms of the prediction accuracy, validity of the descriptors, and amount of the training data.

Funder

Japan Society for the Promotion of Science

Precursory Research for Embryonic Science and Technology

Core Research for Evolutional Science and Technology

Ogasawara Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Link

http://pubs.rsc.org/en/content/articlepdf/2023/YA/D3YA00161J

Reference57 articles.

1. Building better batteries

2. Toward Flexible Batteries

3. Towards sustainable and versatile energy storage devices: an overview of organic electrode materials

4. Carbonyls: Powerful Organic Materials for Secondary Batteries

5. Redox-Active Polymers for Energy Storage Nanoarchitectonics

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. Efficient design and synthesis of an amorphous conjugated polymer network for a metal-free electrocatalyst of hydrogen evolution reaction;Journal of Materials Chemistry A;2024