2023
DOI: 10.1039/d3ya00161j
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Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data

Haruka Tobita,
Yuki Namiuchi,
Takumi Komura
et al.

Abstract: Organic energy storage has attracted much interest enhance performances and save resource consumptions. If the performance predictors are prepared, the exploration of new compounds can be accelerated without consumptions of...

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Cited by 3 publications
(1 citation statement)
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“…1d). [22][23][24][25][26][27] In SpM-S, the straightforward linear regression model is prepared using a small number of signicant descriptors. The descriptors are rst extracted using machine learning and then selected based on our chemical insight.…”
Section: Introductionmentioning
confidence: 99%
“…1d). [22][23][24][25][26][27] In SpM-S, the straightforward linear regression model is prepared using a small number of signicant descriptors. The descriptors are rst extracted using machine learning and then selected based on our chemical insight.…”
Section: Introductionmentioning
confidence: 99%