fa Technical Characteristics Improvement of Multiple Quantum Well Semiconductor Slow Light Devices Based on Excitonic Population Oscillations تخصصی Special پژوهشي Research <p class="AbstractEnglish" dir="ltr">This article indicates the effects of physical dimensions variations on optical properties of GaAs/AlGaAs multiple quantum well (MQW) slow light devices based on coherent population oscillations (CPO) method. These physical parameters include, quantum well size and number. Bloch equations have been used to analyze and simulate the device with different parameters. This paper offers several methods for tuning the central frequency and slow down factor (SDF) of the slow light device. Based on these proposed approaches, we could improve optical properties of MQW slow light devices. According to simulation results, the maximum value of SDF can be achieved in a range of 3&times;10⁵ with variations of physical parameters.<!--stripped--><!--stripped--></p> <p class="AbstractEnglish" dir="ltr">This article indicates the effects of physical dimensions variations on optical properties of GaAs/AlGaAs multiple quantum well (MQW) slow light devices based on coherent population oscillations (CPO) method. These physical parameters include, quantum well size and number. Bloch equations have been used to analyze and simulate the device with different parameters. This paper offers several methods for tuning the central frequency and slow down factor (SDF) of the slow light device. Based on these proposed approaches, we could improve optical properties of MQW slow light devices. According to simulation results, the maximum value of SDF can be achieved in a range of 3&times;10⁵ with variations of physical parameters.<!--stripped--><!--stripped--></p> quantum wells number, quantum wells size, multiple quantum well, slow light device, coherent population oscillations. quantum wells number, quantum wells size, multiple quantum well, slow light device, coherent population oscillations. 1113 1116 http://opsi.ir/browse.php?a_code=A-10-1-1194&slc_lang=fa&sid=1 Saeed Abdolhosseini Saeed Abdolhosseini s.abdolhosseini@aut.ac.ir 10031947532846005054 10031947532846005054 Yes Amirkabir University of Technology Amirkabir University of Technology Hassan Kaatuzian Hassan Kaatuzian hsnkato@aut.ac.ir 10031947532846005055 10031947532846005055 No Amirkabir University of Technology Amirkabir University of Technology Bahram Choupanzadeh Bahram Choupanzadeh choupanzadeh@aut.ac.ir 10031947532846005056 10031947532846005056 No Amirkabir University of Technology Amirkabir University of Technology Reza Kohandani Reza Kohandani rezakohandani.a@aut.ac.ir 10031947532846005057 10031947532846005057 No Amirkabir University of Technology Amirkabir University of Technology