4.8 Editorial Material

Machine learning for continuous innovation in battery technologies

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Multidisciplinary Sciences

Closed-loop optimization of fast-charging protocols for batteries with machine learning

Peter M. Attia et al.

NATURE (2020)

Article Computer Science, Software Engineering

BEEP: A Python library for Battery Evaluation and Early Prediction

Patrick Herring et al.

SOFTWAREX (2020)

Article Energy & Fuels

Data-driven prediction of battery cycle life before capacity degradation

Kristen A. Severson et al.

NATURE ENERGY (2019)

Article Chemistry, Physical

Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials

Austin D. Sendek et al.

CHEMISTRY OF MATERIALS (2019)

Article Materials Science, Multidisciplinary

Strategies for accelerating the adoption of materials informatics

Logan Ward et al.

MRS BULLETIN (2018)

Review Electrochemistry

Modeling and Simulation of Lithium-Ion Batteries from a Systems Engineering Perspective

Venkatasailanathan Ramadesigan et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2012)

Article Electrochemistry

A Guide to Li-Ion Coin-Cell Electrode Making for Academic Researchers

Thomas Marks et al.

JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2011)