Assessment of Cr(VI) Biosorption from Aqueous Solution by Artificial Intelligence
1. Assessment of Cr(VI) Biosorption from Aqueous Solution by Artificial Intelligence

Reza Beigzadeh; Seyed Omid Rastegar

Volume 4, Issue 2. pp. 115-219 , March and April 2020, , Pages 181-190

http://dx.doi.org/10.33945/SAMI/CHEMM.2020.2.8

Abstract
  This work investigates the efficiency of date palm fiber as a biosorbent to the removal of Cr(VI) from aqueous solution. The effect of four main factors including, the initial pH, initial ...  Read More
Prediction of Atmospheric Corrosion of Ancient Door Knockers via Neural Networks
2. Prediction of Atmospheric Corrosion of Ancient Door Knockers via Neural Networks

Shahrzad Houshmandynia; Roya Raked; Fardad Golbabaei

Volume 2, Issue 4. pp. 270-340 , Autumn 2018, , Pages 324-332

http://dx.doi.org/10.22034/chemm.2018.65388

Abstract
  The importance of door knockers persuades us to anticipate the atmospheric corrosion through Neural Network (NN) which is validated by data originated from literature. NNs are used ...  Read More