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Mehmet Gokhan Sensoy

Researcher at Recep Tayyip Erdoğan University

Publications -  16
Citations -  170

Mehmet Gokhan Sensoy is an academic researcher from Recep Tayyip Erdoğan University. The author has contributed to research in topics: Vacancy defect & Electromagnetic induction. The author has an hindex of 5, co-authored 16 publications receiving 132 citations. Previous affiliations of Mehmet Gokhan Sensoy include Middle East Technical University & Harvard University.

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Strain effects on the behavior of isolated and paired sulfur vacancy defects in monolayer MoS 2

TL;DR: In this article, the authors investigate the behavior of sulfur vacancy defects, the most abundant type of intrinsic defect in monolayer, using first-principles calculations based on density functional theory.
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Accurate formation energies of charged defects in solids: A systematic approach

TL;DR: In this article, an internally consistent approach for calculating defect formation energies in inhomogeneous and anisotropic dielectric environments is presented, which is applicable to the cases of the positively charged Cl vacancy on the NaCl (100) surface and the negatively charged S vacancy in monolayer
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Identification of materials with magnetic characteristics by neural networks

TL;DR: In this paper, the authors used two kinds of neural network structures: MultiLayer Perceptron (MLP) and Radial Basis Function (RBF) network types for training of the neural networks.
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Formaldehyde Selectivity in Methanol Partial Oxidation on Silver: Effect of Reactive Oxygen Species, Surface Reconstruction, and Stability of Intermediates

TL;DR: In this article, the nature of active oxygen species in heterogeneous silver catalysts was investigated and it was shown that selective oxidation reactions are essential for the mass production of numerous industrial commodity chemicals.
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Numerical Analysis for Remote Identification of Materials With Magnetic Characteristics

TL;DR: Anomalies created by materials with magnetic characteristics at the perpendicular component of the Earth magnetic field have been detected by using a KMZ51 anisotropic magnetoresistive sensor with high sensitivity and low power consumption, and also, the effects of physical properties of materials on magnetic anomaly have been investigated.