[Retracted] Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">S.No</td><td class="align_center">Composition</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1.</td><td class="align_center">Monoethylene glycol (100 : 0)</td></tr><tr><td class="align_left">2.</td><td class="align_center">Monoethylene glycol and distilled water (90 : 10)</td></tr><tr><td class="align_left">3.</td><td class="align_center">Monoethylene glycol and distilled water (80 : 20)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Base fluid coolant configuration.</div>

Journal of Nanomaterials

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Table 1

Table 1: [Retracted] Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks 

Table 1 | [Retracted] Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks 