首页|Reports from University of Calcutta Provide New Insights into Machine Learning (Stone-wales Decorated Phagraphene: a Potential Candidate for Supercapacitor Electrodes and Thermal Transport)
Reports from University of Calcutta Provide New Insights into Machine Learning (Stone-wales Decorated Phagraphene: a Potential Candidate for Supercapacitor Electrodes and Thermal Transport)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from Kolkata, India, by NewsRx correspondents, research stated, “Carbon-based electricaldouble-layer capacitors or EDLC supercapacitors have recently gained much attention due to their costeffectiveness,environment friendliness, and stable energy supply. However, the total capacitance of thesupercapacitors is limited by the quantum capacitance (QC) of the electrodes.”Funders for this research include University of Delhi, University Grants Commission, India, Departmentof Science & Technology (India), DST-INSPIRE Faculty Award, Department of Science & Technology(India), University of Delhi.
KolkataIndiaAsiaCyborgsEmerging TechnologiesMachine LearningUniversity of Calcutta
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