Two active-learning rounds with gradient boosting and particle swarm optimization reduced cathode capacity prediction error from 2.5% to 1.5%, but no baseline comparison supports the acceleration claim.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Accelerating Battery Material Optimization through iterative Machine Learning
Two active-learning rounds with gradient boosting and particle swarm optimization reduced cathode capacity prediction error from 2.5% to 1.5%, but no baseline comparison supports the acceleration claim.