Battery Informatics
Pages 190–191 (2 pages)
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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