Synthesis of Lithium-Ion Conducting Polymers Designed by Machine Learning-Based Prediction and Screening

Chemistry Letters - Japan
doi 10.1246/cl.180847
Full Text
Abstract

Available in full text

Categories
Chemistry
Date
Authors
Publisher

The Chemical Society of Japan

Related search

Machine Learning Based Analytical Framework for Automatic Hyperspectral Raman Analysis of Lithium-Ion Battery Electrodes

Scientific Reports
Multidisciplinary
2019English

Recent Advances in Ion Sensing With Conducting Polymers

BMC Materials
2019English

Synthesis of Silicon-Based Polymers for Solid State Lithium Polymer Batteries

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

Prediction and Analysis of Forest Fire Based on Machine Learning

Statistics and Application
2016English

Conducting Polymers Based Sensors and Biosensors Biocomposite

2019English

Overheating Prediction and Management of Lithium-Ion Batteries

English

Gas Sensors Based on Conducting Polymers

2020English

Ferroelectric Polarization Induces Electronic Nonlinearity in Ion-Doped Conducting Polymers

Science advances
Multidisciplinary
2017English

Disease Prediction by Machine Learning From Healthcare Communities

International Journal of Scientific Research in Science and Technology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy