Dr. Dibyajyoti Saikia | Physics | Best Researcher Award
S.N. Bose National Centre for Basic Sciences | India
Dr. Dibyajyoti Saikia is a theoretical materials physicist whose contributions span halide perovskites, two-dimensional materials (including TMDCs), Heusler alloys, spintronics, thermoelectrics, and density-functional theory–based electronic structure and many-body perturbation studies. According to Google Scholar, he has authored approximately 15 peer-reviewed publications garnering around 331 citations and holds an h-index of 6. His work notably advances sustainable and renewable energy materials through first-principles investigations of lead-free inorganic perovskite systems such as CsGeI₃, CsPbI₃, CsSnX₃, and ABBr₃, combined with device-level modeling using SCAPS-1D to simulate photovoltaic performance. In addition, his studies on 2D ZrX₂N₄ and HfX₂N₄ monolayers and sulfur-substituted Bi₂Te₃ demonstrate innovative routes toward enhanced thermoelectric functionality, while his interdisciplinary research into AgInS₂ quantum dots and Cs₂CuBiBr₆ double perovskites explores neuromorphic and memristive device applications. The cumulative output of fifteen publications with over three hundred citations and an h-index of six attests to the quality and growing impact of his scholarship. His research is recognized internationally, published in well-regarded journals, and demonstrates significant promise in driving forward next-generation clean energy technologies.
Profiles : Scopus| Google Scholar
Featured Publications
“Performance evaluation of an all inorganic CsGeI3 based perovskite solar cell by numerical simulation”
“Progress and challenges of halide perovskite-based solar cell-a brief review”
“Design and optimization of the performance of CsPbI3 based vertical photodetector using SCAPS simulation”
“A First‐Principles Study on ABBr3 (A = Cs, Rb, K, Na; B = Ge, Sn) Halide Perovskites for Photovoltaic Applications”
“Numerical simulation of all inorganic CsPbIBr2 perovskite solar cells with diverse charge transport layers using DFT and SCAPS-1D frameworks”