A Novel Parameter Identification Approach for C–V–T Characteristics of Multi-Quantum Wells Schottky Diode Using Ant Lion Optimizer

Abstract

We report the capacitance-voltage (C-V) characteristics of multi quantum wells Schottky diode. This diode is based on Aluminum gallium arsenide, which is highly promising wide band gap semiconductor for applications in high power electronic and optoelectronic devices. The elaboration process and the characterization phase have been carried out at Nottingham University. The C-V characteristics have been measured at different temperature ranging from 20K to 400K. The barrier height and effective density were than extracted from 1/(C/A) 2 plot using heuristic algorithm which called ALO (Ant Lion Optimizer).the accuracy of the extraction method is verified through the gotten results.

Re: “Dealing With The Problem Of Planning Construction Site Layout Based On Quadratic Assignment Problem Method, Using Ant-Lion hybrid algorithm.

“…This problem is used from the research of C.Huang, C.K.Wong, C.M.Tam [32], planning the facilities layout on the basement storage in a multi-floor building, considering the horizontal movement of the warehouse and the vertical movement of the material along the hoist. (25) where: j Material types l Floor in a building for material storage as sources of supply k Cells on building floors for storage m Floor in a building demanding the materials J Total number of material types L Total number of storage floors in a building K Total number of cells in a level of a building M Total number of level in a building Q j, m Demand of material type j on floor m in a building C h j Horizontal unit transportation cost of material type j C v j, l Vertical unit transportation cost of material type j to the floor l of a building from ground C v j, m Vertical unit transportation cost of material type j to the floor m of a building from ground Dl, k Distance from cell k to the material hoist on level l xj, l, k Binary decision variable of storing material j inside cell k on level l Δj, m Demand of material type j on building level m δj, l, k, m Auxiliary binary-type variable where '1' means material j is transferred from floor l cell k to floor m but '0' otherwise' N Total cost in the material transfer setting Calculated data: Material quantity demand, Horizontal distance from cell k on 1st floor to hoist Vertical transportation cost (in USD/kg) from ground to floor l, input parameters for algorithm model, see Run the problem 20 times for three algorithms (GA), (ALO), (IALO-MOLT) to compare the results on PyCharm 2022 software, HP ProBook 450 G2, the final result is taken from the best run. 7's results, IALO-MOLT could achieve optimal results within the shortest time compared with the algorithms GA, ALO, and IALO after 20 iterations.…”

Optimal identification of Be-doped Al0.29Ga0.71As Schottky diode parameters using Dragonfly Algorithm: A thermal effect study

“…This is due to the variety of their applications in multitude fields and operation under several conditions (temperature, frequency, voltage) [1,2]. That is why the elaboration mastery of such structures has a crucial role in the realization of essential smart electronic devices for the consumer electronics and optoelectronics market [3][4][5]. Metal-semiconductor (MS) structures are one of the most widely used rectifying contacts in electronics industry.…”