首页|New Nanocomposites Findings from Defence Institute of Advanced Technology Outlined (Machine Learning-assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of Pani-ni/co Hydroxide Nanocomposites)
New Nanocomposites Findings from Defence Institute of Advanced Technology Outlined (Machine Learning-assisted Electrode Material Fabrication and Electrochemical Efficiency Prediction and Validation of Pani-ni/co Hydroxide Nanocomposites)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Nanotechnology - Nanocomposites. According to news originatingfrom Pune, India, by NewsRx correspondents, research stated, “Electrode materials play a critical rolein the charge storage mechanism in supercapacitor devices. Hence, predicting the performance, namely,the specific capacitance (C-sp), rate capability, and cyclic stability of these electrodes, is crucial for supercapacitorapplications.”
PuneIndiaAsiaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningNanocompositesNanotechnologyDefence Institute of Advanced Technology
NETL
NSTL
