首页|Findings from School of Engineering and Science Yields New Data on Carbon Nanotubes (Machine Learning Based Models To Investigate the Thermoelectric Performance of Carbon Nanotubepolyaniline Nanocomposites)
Findings from School of Engineering and Science Yields New Data on Carbon Nanotubes (Machine Learning Based Models To Investigate the Thermoelectric Performance of Carbon Nanotubepolyaniline Nanocomposites)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Nanotechnology - Carbon Nanotubes. According to newsreporting out of Nuevo Leon, Mexico, by NewsRx editors, research stated, “Thermoelectric materials havebeen widely recognized as a simple approach for harnessing green energy by converting thermal gradientsinto electrical energy. However, the intricate and conflicting interplay between electrical conductivity(sigma), Seebeck coefficient (S), and thermal conductivity (k) in known materials present a challenge forimproving their thermoelectric conversion efficiency.”
Nuevo LeonMexicoNorth and Central AmericaCarbon NanotubesCyborgsEmerging TechnologiesFullerenesMachine LearningNanocompositesNanotechnologyNanotubesSchool of Engineering and Science
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