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Study the Structural, Electronic, Optical Properties of CZTS Compound after Doping Ba at Zn Site and Si at Sn Site Using Density Functional Theory (DFT)

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Materials Sciences and Applications 2024年第9期15卷 305-319页

作者： Fatema Najrin Rabeya Bakar Sarna sayedul hasan Shariful Islam Budrun Neher Md. Mahbubur Rahman Bhuiyan Farid Ahmed Department of Physics Jahangirnagar University Bangladesh Department of Physics Sunamganj Science and Technology University Santiganj Bangladesh

The structural, electronic, and optical properties of Cu2Zn1−xBaxSn1−ySiyS4 compounds have been calculated using GGA-PBE function within the framework of Density Functional Theory (DFT). In the present work, lattice parameters remained the same, that is tetragonal crystal structure for 0% and 100% doping concentration. The electronic band gap of Cu2Zn1−xBaxSn1−ySiyS4 compounds has been gradually increased for continuous increment of doping concentration where the highest electronic band gap is 1.117 eV for Cu2BaSiS4 structure. Moreover, the band gap changes from direct to indirect band gap with the increase of doping concentration in the parent compound. The absorption coefficient has been found to be high (> 104 cm−1) in UV-region for all the doping concentration which makes the studied compound as a potential candidate of absorber layer in the UV detector. The theoretical study of the effect of double doping in the CZTS compound is very interesting for improving the quality of it and it would be a reference for the theoretical and experimental researchers.

关键词： Photovoltaics Absorber Layer Density Functional Theory (DFT) Band Gap Solar Cell

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Identifying the dependency pattern of daily rainfall of Dhaka station in Bangladesh using Markov chain and logistic regression model

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Agricultural Sciences 2012年第3期3卷 385-391页

作者： Mina Mahbub Hossain sayedul Anam Department of Agricultural Statistics Faculty of Agribusiness Management Sher-e-Bangla Agricultural University Dhaka Bangladesh Department of Business Administration Faculty of Business and Economics Daffodil International University Dhaka Bangladesh

Bangladesh is a subtropical monsoon climate characterized by wide seasonal variations in rainfall, moderately warm temperatures, and high humidity. Rainfall is the main source of irrigation water everywhere in the Bangladesh where the inhabitants derive their income primarily from farming. Stochastic rainfall models were concerned with the occurrence of wet day and depth of rainfall for different regions to model the daily occurrence of rainfall and achieved satisfactory results around the world. In connection to the Markov chain of different order, logistic regression is conducted to visualize the dependence of current rainfall upon the rainfall of previous two-time period. It had been shown that wet day of the previous two time period compared to the dry day of previous two time period influences positively the wet day of current time period, that is the dependency of dry-wet spell for the occurrence of rain in the rainy season from April to September in the study area. Daily data are collected from meteorological department of about 26 years on rainfall of Dhaka station during the period January 1985-August 2011 to conduct the study. The test result shows that the occurrence of rainfall follows a second order Markov chain and logistic regression also tells that dry followed by dry and wet followed by wet is more likely for the rainfall of Dhaka station and also the model could perform adequately for many applications of rainfall data satisfactorily.

关键词： Characteristics of Rainfall in Bangladesh Stochastic Models Markov Chain Mode Logistic Regression Model Akaike’s Information Criterion (AIC)

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Exploring the Rooting Behaviour of BRRI (Bangladesh Rice Research Institute) Rice Cultivars

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American Journal of Plant Sciences 2021年第4期12卷 518-535页

作者： Mohammad sayedul Islam Md. Ibne Saad Sikder Titas Department of Biochemistry and Molecular Biology University of Chittagong Chittagong Bangladesh

Rice (Oryza sativa L.) is the main staple cereal crops for half of the world’s population which is predicted to exceed 9 billion by the 2050. Rice production needs to be doubled to meet the future demand of rice eating countries. To ensure the food security of growing population, sustainable rice production is needed. To achieve the expected yield, better understanding of the rice root systems will be required. A panel of rice cultivars, collected from Bangladesh Rice Research Institute (BRRI) were assessed through two established screening methods. Deep and shallow rooted cultivars were identified through hydroponic screening and soil filled rhizotron method. In hydroponic screening method, one way analysis of variance (ANOVA) revealed 99.13% variation explained by the genotype (P deep rooted cultivars, which would be very promising cultivars for rice breeding programmes in drought prone regions.

关键词： Rice Root Screening Traits Phenotyping Hydroponic and Rhizotron

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