VFBATTERY REPORT
Research

Battery Informatics

Page 190 of 220
Battery Report 2022, page 190: Battery Informatics
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  1. https://www.nature.com/articles/s41524-022-00713-x
Text on page 190

Text classification techniques can extract test information, such as temperature, and material information, such as capacity, from over 229k research papers to produce a materials knowledge database

Research: Battery Informatics Source: Ling

Conductivity Prediction Example

A transfer-learned graph neural network accurately predicted conductivity (mean absolute error of less than 1 on a logarithmic scale) on the largest database of lithium-conducting solid polymer electrolytes (~10,000 entries) Volta Foundation

Extracted from the PDF; charts and images may read imperfectly.

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