Parameter Estimation of AI/p-Si Schottky Barrier Diode Using Different Meta-Heuristic Optimization Techniques

dc.contributor.authorDoğan, Hülya
dc.date.accessioned2023-06-20T07:56:58Z
dc.date.available2023-06-20T07:56:58Z
dc.date.issued2022tr
dc.departmentMühendislik Fakültesitr
dc.description.abstract: Schottky barrier diodes (SBD) are crucial in the electronics sector. The electronic properties of SBD are characterized by three basic electrical parameters as the ideality factor (n), barrier height (ΦSB) and series resistance (RS). These parameters are significant in designing and producing SBD. This paper presents a comprehensive review of metaheuristic optimization techniques used to de termine the fundamental electrical parameters of SBD using experimental forward current–voltage (I-V) characteristics. In the study, popular meta-heuristic optimization techniques, such as GA, PSO, ALO, EO, DA, HHO, GWO, WOA, MFO, MVO, and SCA algorithms, are employed for the parameter estimation of SBD. Among these chosen algorithms, meta-heuristic optimization techniques, such as GWO, WOA, HHO and AHA, have been used for the first time in the literature for parameter estimation of SBD. Firstly, parameter values have been calculated using experimental (I-V) character istics. Following that, the findings were compared to the values that had been estimated utilizing optimization techniques. Moreover, the performance of meta-heuristic optimization algorithms in determining the basic parameters of SBD was evaluated statistically. Results show that AHA has higher and symmetrical estimation performance than other presented algorithms in determining the basic parameters of SBD with R 2 = 0.999925806, MAE = 2.79065 × 10−7 , RMSE = 7.49521 × 10−7 , RE = 0.422088668, and STD = 7.68031 × 10−7 statistical valuestr
dc.identifier.doi10.3390/sym14112389en_US
dc.identifier.scopus2-s2.0-85149554085en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12418/13764
dc.identifier.wosWOS:000895170400001en_US
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.subjectSchottky diode; meta-heuristic optimization techniques; parameter estimationtr
dc.titleParameter Estimation of AI/p-Si Schottky Barrier Diode Using Different Meta-Heuristic Optimization Techniquesen_US
dc.typeArticleen_US

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