Governing Factors for Carbon Nanotube Dispersion in Organic Solvents Estimated by Machine Learning (Adv. Mater. Interfaces 7/2022)
Source abstract
Abstract
Carbon Nanotube Dispersion in Organic Solvents In article number 2101723, Yoshiyuki Nonoguchi, Tomoyuki Miyao, and co-workers demonstrate that single-walled carbon nanotubes are efficiently dispersed in various organic solvents with the aid of surfactants. Quantitative concentration data obtained as optical absorbance are subject to feature extraction based on the Bayesian learning, for elucidating governing factors for the dispersion.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Conducting polymers and applications · Advanced Chemical Sensor Technologies · Water Quality Monitoring and Analysis
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Affiliations
Division of Materials Science Nara Institute of Science and Technology Ikoma 630‐0192 Japan
Faculty of Materials Science and Engineering Kyoto Institute of Technology Kyoto 606‐8585 Japan
Data Science Center Nara Institute of Science and Technology Ikoma 630‐0192 Japan
Department of Chemical System Engineering School of Engineering The University of Tokyo Tokyo 113‐8656 Japan
References
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