2022
DOI: 10.1002/admi.202270038
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Governing Factors for Carbon Nanotube Dispersion in Organic Solvents Estimated by Machine Learning (Adv. Mater. Interfaces 7/2022)

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“…Cellulosic polymers and some types of vinyl polymers have also been reported to aid in the colloidal dispersion of SWCNTs in arbitrary organic solvents. [34][35][36] A recent study based on artificial intelligenceassisted feature extraction suggested that weak interactions such as hydrogen bonding could be a key factor in the design of efficient surfactants. 36 Compared to polymer surfactants, there are few studies on surfactants derived from low-molecular-weight molecules for efficient SWCNT dispersion, [24][25][26][27][28]37,38 except for those on well-known micellar solutions.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Cellulosic polymers and some types of vinyl polymers have also been reported to aid in the colloidal dispersion of SWCNTs in arbitrary organic solvents. [34][35][36] A recent study based on artificial intelligenceassisted feature extraction suggested that weak interactions such as hydrogen bonding could be a key factor in the design of efficient surfactants. 36 Compared to polymer surfactants, there are few studies on surfactants derived from low-molecular-weight molecules for efficient SWCNT dispersion, [24][25][26][27][28]37,38 except for those on well-known micellar solutions.…”
Section: Introductionmentioning
confidence: 99%
“…[34][35][36] A recent study based on artificial intelligenceassisted feature extraction suggested that weak interactions such as hydrogen bonding could be a key factor in the design of efficient surfactants. 36 Compared to polymer surfactants, there are few studies on surfactants derived from low-molecular-weight molecules for efficient SWCNT dispersion, [24][25][26][27][28]37,38 except for those on well-known micellar solutions. Owing to the limitations of such reports, the general design of efficient surfactants remains unexplored.…”
Section: Introductionmentioning
confidence: 99%