首页|Study Results from University of Rajshahi in the Area of Machine Learning Report ed (Machine Learning-enabled Performance Exploration To Unveil the Potential of Aucuse4 4 In Thermophotovoltaic Cell)
Study Results from University of Rajshahi in the Area of Machine Learning Report ed (Machine Learning-enabled Performance Exploration To Unveil the Potential of Aucuse4 4 In Thermophotovoltaic Cell)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Rajshahi, B angladesh, by NewsRx correspondents, research stated, “In this work, AuCuSe4 4 d irect bandgap (Eg g = 0.52 eV) semiconductor has been examined as a thermophotov oltaic (TPV) material. Initially, the electronic structure of AuCuSe4 4 compound has been investigated using first- principles calculations.” Our news editors obtained a quote from the research from the University of Rajsh ahi, “The study reveals a semiconducting nature of AuCuSe4 4 with a narrow bandg ap computed by DFT-MBJ (Density Functional Theory with Modified Becke-Johnson) m ethod which is lower than the experimental value. The optical properties show si gnificant aniso-tropic by AuCuSe4 4 absorption in the solar spectrum, favoring T PV growth orientation. Subsequently, a single-junction AuCuSe4 4 TPV cell has be en presented employing a device transport model with an n-p structure, operating at the black body and cell temperatures of 1538 K and 300 K, respectively. Nota bly, machine learning (ML) techniques are utilized to investigate the significan ce of each parameter in the model, enhancing the understanding of the system’s b ehavior and design optimization.”
RajshahiBangladeshAsiaCyborgsEme rging TechnologiesMachine LearningUniversity of Rajshahi
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