[HTML][HTML] Unraveling essential optoelectronic and thermoelectric excellence in CsZrCuSe3 with hybrid functional and Boltzmann transport insights
This research paper delves into the optoelectronic and thermoelectric properties of the
quaternary layered selenide compound CsZrCuSe 3, employing a comprehensive …
quaternary layered selenide compound CsZrCuSe 3, employing a comprehensive …
Data driven multi soliton solutions of the Fokas-Lenells equation using conservation laws in PINN
We propose a conserved density aided neural network to obtain data driven multi-soliton
solutions of the Fokas-Lenells equation (FLE). We add the FLE and conserved densities in …
solutions of the Fokas-Lenells equation (FLE). We add the FLE and conserved densities in …
Predictive machine learning approaches for perovskites properties using their chemical formula: towards the discovery of stable solar cells materials
In recent years, notable progress in computational density functional theory (DFT) has
facilitated the collection of extensive datasets in the field of materials science. Machine …
facilitated the collection of extensive datasets in the field of materials science. Machine …
From data to discovery: Exploring novel photovoltaic perovskite chalcogenide crystals MgMS3 (M: Zr, Ti, Hf) via Machine learning and Density Functional Theory …
The tunability of the bandgap and its nature is an essential parameter for high-performance
photovoltaic system. In this study, we employ a machine learning approach to predict the …
photovoltaic system. In this study, we employ a machine learning approach to predict the …
Investigation into the physical characteristics of the compounds XBiSe2 (X= Li, Na or K)
A Jabar, N Maaouni, S Benyoussef… - Journal of Molecular …, 2024 - Springer
Methods The used investigation employs Density Functional Theory (DFT) implemented in
the Wien2k package to systematically characterize the physical properties of ternary …
the Wien2k package to systematically characterize the physical properties of ternary …