Discovery of lead low-potential radical candidates for organic radical polymer batteries with machine-learning-assisted virtual screening Academic Article

abstract

• Lead candidate radicals for use in radical polymer batteries are discovered by virtual screening with low computational footprint, chemistry-informed machine learning methods.

authors

• Tabor, Daniel

published proceedings

• JOURNAL OF MATERIALS CHEMISTRY A

altmetric score

• 9.93

author list (cited authors)

• Li, C., & Tabor, D. P.

citation count

• 9

complete list of authors

• Li, Cheng-Han||Tabor, Daniel P

publication date

• April 2022

publisher

• Royal Society of Chemistry (RSC)  Publisher

published in

• Journal of Materials Chemistry A  Journal

keywords

• 34 Chemical Sciences
• 3406 Physical Chemistry

Digital Object Identifier (DOI)

• 10.1039/d2ta00743f

start page

• 8273

end page

• 8282

volume

• 10

issue

• 15

URL

• http://dx.doi.org/10.1039/d2ta00743f