10 research outputs found
Adequate Method for Decoupling Bulk Lifetime and Surface Recombination Velocity in Silicon Wafers
In this paper, we present an appropriate method of decoupling surface and bulk recombination processes in silicon wafers. The study was carried out using the surface passivation of multicrystalline silicon wafers by ethanolic solution of iodine at different molarities varying between 0.01 M and 0.1 M. The effect of the concentration of ethanolic iodine solution on surface passivation effectiveness was investigated by using quasi steady state photoconductance technique. Reproducible experiments have shown that the best passivation is reached for a molarity of around 0.02 M. The carrier lifetime after passivation at 0.02 M has been improved by more than one order of magnitude, compared to that of the same wafer before the passivation. Using an adequate modeling of minority carrier lifetime curves τ (∆n), based on Hornbeck-Haynes model, surface recombination velocity was calculated. The minimum values of surface recombination velocity have been found to be approximately 120 cm/s for 0.02 M. The modeling results indicate that the minority carrier lifetime improvement can be easily correlated with the decrease of the surface recombination velocity for a fixed bulk lifetime τ b = 115 µs
Improvement of multicrystalline silicon wafer solar cells by post-fabrication wet-chemical etching in phosphoric acid
Electrochemical treatment and reclamation of water used during the rinsing of silicon wafers
Silicon Carbide Recovery from Cutting Fluid Waste: Evolution of Recycling Performance for Valorization with Higher Added Value
Electrocoagulation performance of industrial wastewater with high fluoride concentrations and characteristics of the sludge generated
Adding alum through electrocoagulation with rotating anodes for treating dyes from wastewaters
Mitigating the risk of arsenic and fluoride contamination of groundwater through a multi-model framework of statistical assessment and natural remediation techniques
The present book chapter discusses the mechanism of Arsenic and Fluoride release in the groundwater and its related toxicity. The use of spatial modelling techniques involving machine learning classification algorithms can help predict the concentration in binary outputs. The variability in the cause of occurrence of Arsenic forces researchers to try different adsorption materials that could help decrease the concentration levels of contaminants to permissible levels. The co-occurrence of Fluoride and Arsenic at places complicates both prediction as well as remediation. Therefore a multi-model technique involving statistical assessment and natural remediation is required to be used in tandem.by Ashwin Singh, Arbind Kumar Patel and Manish Kuma
Application of electrocoagulation for treatment of medical waste sterilization plant wastewater and optimization of the experimental conditions
Treatment of paper-recycling wastewater by electrocoagulation using aluminum and iron electrodes
Abstracts of 1st International Conference on Computational & Applied Physics
This book contains the abstracts of the papers presented at the International Conference on Computational & Applied Physics (ICCAP’2021) Organized by the Surfaces, Interfaces and Thin Films Laboratory (LASICOM), Department of Physics, Faculty of Science, University Saad Dahleb Blida 1, Algeria, held on 26–28 September 2021. The Conference had a variety of Plenary Lectures, Oral sessions, and E-Poster Presentations.
Conference Title: 1st International Conference on Computational & Applied PhysicsConference Acronym: ICCAP’2021Conference Date: 26–28 September 2021Conference Location: Online (Virtual Conference)Conference Organizer: Surfaces, Interfaces, and Thin Films Laboratory (LASICOM), Department of Physics, Faculty of Science, University Saad Dahleb Blida 1, Algeria
