Modeling and Simulation of Structure –Property Correlation for Metallic and Intermetallic Glassy Nanoalloys

Fadaie, Amir
Yalçın, Mahsuni
Mehrabov, Amdulla
Akdeniz, Mahmut Vedat


Modeling and analysis of surface roughness of microchannels produced by mu-WEDM using an ANN and Taguchi method
Jafari, Rahim; Kahya, Muge; Oliaei, Samad Nadimi Bavil; ÜNVER, HAKKI ÖZGÜR; Okutucu Özyurt, Hanife Tuba (2017-11-01)
Microchannel heat exchangers are used to remove the high heat fluxes generated in compact electronic devices. The roughness of the microchannels has a significant effect on the heat transfer characteristics, especially the nucleate boiling and pumping power. Therefore, development of predictive models of surface texture is of significant importance in controlling heat transfer characteristics of these devices. In this study, micro-Wire electrical discharge machining (mu-WEDM) was employed to fabricate metal...
Modeling of a Microhollow Cathode Discharge Reactor for Carbon Dioxide Dissociation
Taylan, Onur; Berberoglu, Halil (2014-04-02)
This paper reports a numerical study on carbon dioxide dissociation using a microhollow cathode discharge (MHCD) plasma reactor. These reactors can produce non-equilibrium plasmas and can be a promising technology for converting carbon dioxide into valuable chemicals and renewable fuels. However, these applications are currently in their early stages. In order to understand the effects of major design and operational parameters on the reactor performance a MHCD system was modeled and simulated. In this stud...
Modeling of various biological networks via LCMARS
AYYILDIZ DEMİRCİ, EZGİ; Purutçuoğlu Gazi, Vilda (Elsevier BV, 2018-09-01)
In system biology, the interactions between components such as genes, proteins, can be represented by a network. To understand the molecular mechanism of complex biological systems, construction of their networks plays a crucial role. However, estimation of these biological networks is a challenging problem because of their high dimensional and sparse structures. Several statistical methods are proposed to overcome this issue. The Conic Multivariate Adaptive Regression Splines (CMARS) is one of the recent n...
Modeling of various biological networks via LCMARS
Ayyıldız Demirci, Ezgi; Purutçuoğlu Gazi, Vilda (null; 2017-04-05)
Modeling of the activated sludge process by using artificial neural networks with automated architecture screening
MORAL, Hakan; Aksoy, Ayşegül; Golcay, Celal F. (Elsevier BV, 2008-10-17)
In this study, a MATLAB script was developed to aid in the development of artificial neural network (ANN) models by Screening Out the better ANN architectures for the cases studied. Then, the script was applied for modeling of activated sludge process (ASP) for two different cases. In the first one, a hypothetical wastewater treatment plant (WWTP) was considered. The input and Output data for the training of the ANN models were generated using a simulation model, which was an implementation of the Activated...
Citation Formats
A. Fadaie, M. Yalçın, A. Mehrabov, and M. V. Akdeniz, “Modeling and Simulation of Structure –Property Correlation for Metallic and Intermetallic Glassy Nanoalloys,” 2012, Accessed: 00, 2021. [Online]. Available: