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...
“…1d). [22][23][24][25][26][27] In SpM-S, the straightforward linear regression model is prepared using a small number of signicant descriptors. The descriptors are rst extracted using machine learning and then selected based on our chemical insight.…”
Performances of functional polymers are enhanced by designing the structures in the different hierarchies, such as monomer, polymer, secondary structures, and nanoscale morphologies. In the present work, an amorphous conjugated...
“…1d). [22][23][24][25][26][27] In SpM-S, the straightforward linear regression model is prepared using a small number of signicant descriptors. The descriptors are rst extracted using machine learning and then selected based on our chemical insight.…”
Performances of functional polymers are enhanced by designing the structures in the different hierarchies, such as monomer, polymer, secondary structures, and nanoscale morphologies. In the present work, an amorphous conjugated...
Organization states of functional monomer molecules have significant impact on the properties of polymer materials. This Perspective summarizes amorphous conjugated polymer network (CPN) as a new family of polymerized structures....
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