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Green porous benzamide-like nanomembranes for hazardous cations detection, separation, and concentration adjustment
, Article Journal of Hazardous Materials ; Volume 423 , 2022 ; 03043894 (ISSN) ; Fatahi, Y ; Asadnia, M ; Daneshgar, H ; Kiani, M ; Ghadiri, A. M ; Atarod, M ; Mashhadzadeh, A. H ; Akhavan, O ; Bagherzadeh, M ; Lima, E. C ; Saeb, M. R ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Green biomaterials play a crucial role in the diagnosis and treatment of diseases as well as health-related problem-solving. Typically, biocompatibility, biodegradability, and mechanical strength are requirements centered on biomaterial engineering. However, in-hospital therapeutics require an elaborated synthesis of hybrid and complex nanomaterials capable of mimicking cellular behavior. Accumulation of hazardous cations like K+ in the inner and middle ear may permanently damage the ear system. We synthesized nanoplatforms based on Allium noeanum to take the first steps in developing biological porous nanomembranes for hazardous cation detection in biological media. The...
Characterization of nanoscale structural heterogeneity in metallic glasses: A machine learning study
, Article Journal of Non-Crystalline Solids ; Volume 578 , 2022 ; 00223093 (ISSN) ; Gholamipour, R ; Bokov, D.O ; Suksatan, W ; Samavatian, V ; Mahmoodan, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Atomic force microscopy (AFM) is an efficient tool for studying the structural heterogeneity in metallic glasses (MGs). However, time-consuming analysis and limitations in the scanning process are downsides of this experiment. To tackle these problems, a machine learning (ML) model was developed to predict the distribution of energy dissipation on the MG surface with the increase in number of AFM scanning. The results indicated that it was possible to accurately predict the energy of scanning points, leading to a timesaving and reliable study. Moreover, characterization of structural heterogeneity shows that the viscoelastic response of each nanoscale region under sequences of AFM scans...
Dynamic Task Replication with Imperfect Fault Detection in Multicore Cyber-Physical Systems
, M.Sc. Thesis Sharif University of Technology ; Morad, Mohammad Reza (Supervisor)
Abstract
In the contemporary pursuit of sustainable energy solutions to address the escalating demand for electrical power, a crucial focus lies on the exploration of renewable energies and the harnessing of wasted energy in industrial processes. This research contributes to this imperative by investigating active cooling methods, specifically employing jet impingement and spray techniques, for the cooling of thermoelectric generators and the recovery of wasted heat. The study empirically assesses three distinct cooling approaches, encompassing a heat pipe relying on free convective heat transfer with air, a heat pipe cooled by water jet impingement, and a heat pipe incorporating spray application....