Research Outputs

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    Chiral and linear spin structures in 2D nanostructured magnonics
    (Koç University, 2023) Yagan, Rawana; Onbaşlı, Mehmet Cengiz; 0000-0002-3554-7810; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 258783
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    Communication theoretical foundations of nervous system
    (Koç University, 2018) Ramezani, Hamideh; Akan, Özgür Barış; 0000-0003-2523-3858; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 6647
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    Communication theoretical modeling and analysis of neuronal communication with synaptic plasticity
    (Koç University, 2022) Khan, Tooba; Akan, Özgür Barış; 0000-0003-2523-3858; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 6647
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    Design and fabrication of electrostatically actuated nanotweezers by guided self-assembly
    (Koç University, 2006) Şardan, Özlem; Alaca, Burhanettin Erdem; 0000-0001-5931-8134; Koç University Graduate School of Sciences and Engineering; Mechanical Engineering; 115108
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    Fabrication of junctionless silicon nanowire transistors via mix and watch pattering based on field emission scanning probe lithography
    (Koç University, 2022) Özden, Mert; Alaca, Burhanettin Erdem; 0000-0001-5931-8134; Koç University Graduate School of Sciences and Engineering; Mechanical Engineering; 115108
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    High-throughput vibrational testing of silicon nanowires
    (Institute of Electrical and Electronics Engineers Inc., 2024) Department of Mechanical Engineering; Zarepakzad, Sina; Ali, Basit; Muzammil, Muhammad; Alaca, Burhanettin Erdem; Department of Mechanical Engineering; Koç University Surface Science and Technology Center (KUYTAM) / Koç Üniversitesi Yüzey Teknolojileri Araştırmaları Merkezi (KUYTAM); n2STAR-Koç University Nanofabrication and Nanocharacterization Center for Scientifc and Technological Advanced Research; Graduate School of Sciences and Engineering; College of Engineering
    Silicon nanowires have emerged as essential components in nanoelectromechanical systems and nanoelectronics.Despite the associated challenges, investigation of their mechanical properties holds great significance due to their enormous potential in next-generation devices.Such challenges persist in the preparation and handling of samples, significantly impairing both throughput and reliability in experimentation.This paper introduces a comprehensive methodology integrating high-throughput resonance testing with co-fabrication techniques to enable simultaneous testing of multiple silicon nanowires under unique initial conditions.The proposed methodology aims to streamline testing processes while ensuring precise calibration and characterization of silicon nanowires.The study presents resonance testing conducted on multiple co-fabricated silicon nanowires, along with the quantification of intrinsic stresses through Raman characterization.Experimental results are compared with finite element modeling to analyze the vibration modes of the silicon nanowires under investigation.The developed methodology provides a foundational framework for scalable and reliable characterization of silicon nanowires, facilitating advancements in small-scale testing.In this context, this study paves the way into parallelization of incorporating intrinsic stresses into advanced nanomechanical modeling and highlights the importance of exploring multiscale theoretical frameworks for silicon nanowire mechanical characterization. © 2024 IEEE.
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    Integration of silicon nanowires with 3D devices: fabrication and modeling
    (Koç University, 2017) Esfahani, Mohammad Nasr; Alaca, Burhanettin Erdem; 0000-0001-5931-8134; Koç University Graduate School of Sciences and Engineering; Mechanical Engineering; 115108
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    MEMS compatible highly doped piezoresistive silicon nanowires : fabrication and electromechanical characterization
    (Koç University, 2022) Nadar, Gökhan; Alaca, Burhanettin Erdem; 0000-0001-5931-8134; Koç University Graduate School of Sciences and Engineering; Mechanical Engineering; 115108
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    Molecular communications: novel relaying schemes and molecular beamforming
    (Koç University, 2022) Angjo, Joana; Başar, Ertuğrul; 0000-0001-5566-2392; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 149116
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    N4Sim: the first nervous NaNoNetwork simulator with synaptic molecular communications
    (Koç University, 2022) Turgut, Nafi Ahmet; Akan, Özgür Barış; 0000-0003-2523-3858; Koç University Graduate School of Sciences and Engineering; Electrical and Electronics Engineering; 6647