Publication | Open Access
Discovery of lead low-potential radical candidates for organic radical polymer batteries with machine-learning-assisted virtual screening
33
Citations
62
References
2022
Year
Chemical EngineeringRadical Polymer BatteriesEngineeringLow Computational FootprintHit IdentificationRadical (Chemistry)Lead IdentificationOrganic ChemistryLead Candidate RadicalsMolecular DesignComputational ChemistryChemistryPolymer ChemistryBiomolecular EngineeringMachine-learning-assisted Virtual Screening
Lead candidate radicals for use in radical polymer batteries are discovered by virtual screening with low computational footprint, chemistry-informed machine learning methods.
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