activity
20162020
most citedPrediction of tubular solar still performance by machine learning integrated with Bayesian optimization algorithm

7 citations · 7 across the 2 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

cond-mat.mes-hall2016

The effects of graphite nanoparticles, phase change material, and film cooling on the solar still performance

S. W. Sharshir, Guilong Peng, Lirong Wu +3

In this paper, we performed four modifications on the solar still, as (A) adding the graphite nanoparticles, (B) the graphite nanoparticles together with the phase change material…