Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article 3D Magnetic Nanocomposite Aerogel (3D-MANCA) for Humidity Sensing and Dye Adsorption Applications(Institute of Physics, 2026) Shah, N.; Tetik, H.; Lin, D.Introducing magnetic properties to aerogels not only opens new application areas but also enhances their performance in various applications. Herein, we report a novel 3D magnetic agar nanocomposite aerogel (3D-MANCA) with outstanding characteristics such as high porosity, magnetic property, rapid swelling behavior, and a unique stimuli-driven electrical conductivity. Agar and nanocellulose mixture were selected as the matrix material, while magnetic Fe<inf>3</inf>O<inf>4</inf> nanoparticles, CuO nanoparticles, and graphene nanopowder were incorporated as functional additives. 3D-MANCA obtained after a uni-directional freeze casting process exhibited a highly-ordered microporosity. It showed excellent magnetic properties and methylene-blue adsorption capability and a great performance as humidity sensor. © 2026 The Author(s). Published on behalf of The Electrochemical Society by IOP Publishing Limited.Conference Object Material Optimisation for Future Double Skin Façade System Design(Institute of Physics, 2025) Unluturk, M.S.; Kazanasmaz, Z.T.; Ekici, B.; Göksal Özbalta, T.G.Façades have a significant impact on energy consumption in interiors. Designers aimed to reduce energy consumption by developing different façade systems. Double Skin Façade (DSF) aims to increase thermal and ventilation performance in the interior. The depth of the cavity gap between the two façade layers with air inside may adversely affect indoor daylight performance. In addition, studies in the literature indicate that this façade system shows optimum performance in cold climates. With the right design decisions, the DSF system can provide optimum performance in hot climates. In building designs with DSF systems in these climate zones, daylight and energy simulations can make the right design decisions. However, the climate crisis (CC) is increasing air temperatures and sunshine hours in hot and arid climate zones. Simulations are based on current climate data, and the recommendations obtained may not show optimum performance in the future. The study aims to propose an educational building model with a DSF system that will provide optimum visual comfort for 50 years in the Mediterranean climate type (CSA). Meteonorm has created weather scenarios for Izmir for 2050 and 2080. Opossum and Galapagos carried out the optimisation process using this data. The study proposes models that will perform optimally in Izmir for 50 years. © Published under licence by IOP Publishing Ltd.Conference Object Design of Adaptive Shading Device with Rigid Origami Technique: Improving Outdoor Thermal Comfort on Pathways of University Campus(Institute of Physics, 2025) Dağlier, Y.; Ekici, B.; Korkmaz, K.Since urbanization emerged with consequences for the built environment, shadows have played a key role in outdoor comfort. In hot climates, shadow has become a vital element in public spaces as it significantly affects social interaction on various occasions, such as university campus areas. The current state of the art shows that the role of shadings in outdoor environments is crucial to increasing pedestrian comfort and supporting overall well-being. While trees and canopies are commonly used for shading, their applicability is sometimes limited in pedestrian pathways. For example, the Izmir Institute of Technology (IZTECH) campus copes with outdoor discomfort during the extremely hot summer days. Due to the changing environmental conditions, static shading devices offer effective shadows only at specific times. This creates a necessity to design shading devices that can rotate and fold to mitigate temperatures more effectively and increase outdoor thermal comfort. A parametric shading model was developed using Grasshopper and Kangaroo Physics®, and its effectiveness was analyzed using Building Performance Simulation (BPS) tools. The research integrates heuristic optimization techniques to enhance shading performance, including Galapagos (Genetic Algorithm) and Opossum (RBF-opt and CMA-ES). Results indicate that the proposed kinetic shading devices reduced the universal thermal climate index (UTCI) by approximately 20% during peak sunlight hours. These findings suggest that adaptive shading strategies efficiently improve outdoor thermal comfort in urban public spaces. © 2025 Published under licence by IOP Publishing Ltd.Conference Object Energy-Efficient Urban Design Proposal in Urban Heat Island Formation: The Case of CSA Climate(Institute of Physics, 2025) Unluturk, I.U.; Yavuz, E.; Unluturk, M.S.; Akgun, B.Nowadays, unplanned construction resulting from urban growth and population increase reduces the resilience of cities and their historical texture and increases the need for buildings for housing in cities. This situation, which increases the density/height of city buildings, increases the surface temperature and reduces the green tissue, causes urban heat island. In this study, the Dumlupinar neighbourhood of Balıkesir, which attracts attention with its historical texture and where new buildings are designed in certain parts today, will be discussed. First, the areas with traditional and new buildings in the region are modelled parametrically in the Rhino/Grasshopper interface, obtained and compared through Dragonfly software and an urban prototype is created. However, in the computational design algorithms to be performed, not only today's weather scenario but also the weather scenario of 2050 was used. Models were created to minimise the urban heat island in 2050 climate conditions. This urban prototype is a proposal for sustainable cities to be built in cities in CSA climate types (Mediterranean climate). This proposal will guide municipalities in designing energy-efficient and carbon-neutral cities using the urban model of the urban heat island effect. © 2025 Institute of Physics Publishing. All rights reserved.Conference Object Building-Level Circularity Assessment in Urban Regeneration: A Mediterranean Case Study(Institute of Physics, 2025) Aral, D.; Khadim, N.; Kayaçetin, N.C.; Durmus Arsan, Z.D.As the urgency to operate within planetary boundaries intensifies, adopting the circular economy (CE) in the built environment has become essential to mitigate environmental emissions, resource depletion, and waste generation. However, CE implementation at the building level remains fragmented in rapidly urbanizing lower-income countries. There is a pressing need for robust assessment to quantify the current level of circularity and identify context-specific opportunities for improvement. This study aims to evaluate the circularity potential of a residential building block in an urban regeneration project in Izmir, Türkiye, using the Whole Building Circularity Indicator (WBCI) applied to assess circularity across key lifecycle stages and system levels. The results indicate a WBCI score of 0.17 (on a scale of 1 fully circular to 0 fully linear) and a moderate flexibility of 0.70. This reflects a linear building profile driven by virgin materials, mass-intensive construction, limited adaptability, disassembly, and low end-of-life recovery potential. The structure layer presents the lowest system circularity score of 0.11. The study contributes to the literature on building circularity assessment by highlighting the critical role of the assessment framework in guiding the built environment toward more resource-efficient and sustainable outcomes in Mediterranean contexts, and offers practical insights to inform policy development. © Published under licence by IOP Publishing Ltd.Article Effective Geometry of Bell-Network States on a Dipole Graph(Institute of Physics, 2025) Baytaş, B.; Yokomizo, N.Bell-network states are a class of entangled states of the geometry that satisfy an area-law for the entanglement entropy in a limit of large spins and are automorphism-invariant, for arbitrary graphs. We present a comprehensive analysis of the effective geometry of Bell-network states on a dipole graph. Our main goal is to provide a detailed characterization of the quantum geometry of a class of diffeomorphism-invariant, area-law states representing homogeneous and isotropic configurations in loop quantum gravity, which may be explored as boundary states for the dynamics of the theory. We found that the average geometry at each node in the dipole graph does not match that of a flat tetrahedron. Instead, the expected values of the geometric observables satisfy relations that are characteristic of spherical tetrahedra. The mean geometry is accompanied by fluctuations with considerable relative dispersion for the dihedral angle, and perfectly correlated for the two nodes. © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.Article Citation - WoS: 51Citation - Scopus: 60Identification of Hadronic Tau Lepton Decays Using a Deep Neural Network(Institute of Physics, 2022) Tumasyan, A.; Adam, W.; Andrejkovic, J.W.; Bergauer, T.; Chatterjee, S.; Dragicevic, M.; Andreev, V.A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (τ h) that originate from genuine tau leptons in the CMS detector against τ h candidates that originate from quark or gluon jets, electrons, or muons. The algorithm inputs information from all reconstructed particles in the vicinity of a τ h candidate and employs a deep neural network with convolutional layers to efficiently process the inputs. This algorithm leads to a significantly improved performance compared with the previously used one. For example, the efficiency for a genuine τ h to pass the discriminator against jets increases by 10-30% for a given efficiency for quark and gluon jets. Furthermore, a more efficient τ h reconstruction is introduced that incorporates additional hadronic decay modes. The superior performance of the new algorithm to discriminate against jets, electrons, and muons and the improved τ h reconstruction method are validated with LHC proton-proton collision data at s = 13 TeV. © 2022 CERN.Article Citation - WoS: 11Citation - Scopus: 11Measurements With Silicon Photomultipliers of Dose-Rate Effects in the Radiation Damage of Plastic Scintillator Tiles in the Cms Hadron Endcap Calorimeter(Institute of Physics, 2020) Sirunyan, A.M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Brandstetter, J.; Dimova, T.Measurements are presented of the reduction of signal output due to radiation damage for two types of plastic scintillator tiles used in the hadron endcap (HE) calorimeter of the CMS detector. The tiles were exposed to particles produced in proton-proton (pp) collisions at the CERN LHC with a center-of-mass energy of 13 TeV, corresponding to a delivered luminosity of 50 fb-1. The measurements are based on readout channels of the HE that were instrumented with silicon photomultipliers, and are derived using data from several sources: A laser calibration system, a movable radioactive source, as well as hadrons and muons produced in pp collisions. Results from several irradiation campaigns using 60Co sources are also discussed. The damage is presented as a function of dose rate. Within the range of these measurements, for a fixed dose the damage increases with decreasing dose rate. © 2020 CERN for the benefit of the CMS collaboration..Article Citation - WoS: 114Citation - Scopus: 138Identification of Heavy, Energetic, Hadronically Decaying Particles Using Machine-Learning Techniques(Institute of Physics, 2020) Sirunyan, A.M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Okhotnikov, V.Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. The identification performances of a variety of algorithms are characterized in simulated events and directly compared with data. The algorithms are validated using proton-proton collision data at s = 13TeV, corresponding to an integrated luminosity of 35.9 fb-1. Systematic uncertainties are assessed by comparing the results obtained using simulation and collision data. The new techniques studied in this paper provide significant performance improvements over non-ML techniques, reducing the background rate by up to an order of magnitude at the same signal efficiency. © 2020 CERN for the benefit of the CMS collaboration..Article Citation - WoS: 678Citation - Scopus: 550The Cms Trigger System(Institute of Physics, 2017) Khachatryan, V.; Sirunyan, A.M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; de Trocóniz, J.F.This paper describes the CMS trigger system and its performance during Run 1 of the LHC. The trigger system consists of two levels designed to select events of potential physics interest from a GHz (MHz) interaction rate of proton-proton (heavy ion) collisions. The first level of the trigger is implemented in hardware, and selects events containing detector signals consistent with an electron, photon, muon, τ lepton, jet, or missing transverse energy. A programmable menu of up to 128 object-based algorithms is used to select events for subsequent processing. The trigger thresholds are adjusted to the LHC instantaneous luminosity during data taking in order to restrict the output rate to 100 kHz, the upper limit imposed by the CMS readout electronics. The second level, implemented in software, further refines the purity of the output stream, selecting an average rate of 400 Hz for offline event storage. The objectives, strategy and performance of the trigger system during the LHC Run 1 are described. © CERN 2017 for the benefit of the CMS collaboration..