11 citations · 17 across the 4 of their papers we have counts for
4 papers
Designing Pr-based Advanced Photoluminescent Materials using Machine Learning and Density Functional Theory
Upendra Kumar, Hyeon Woo Kim, Sobhit Singh +2
This work presents a machine learning approach to predict novel perovskite oxide materials in the Pr-Al-O and Pr-Sc-O compound families with the potential for photoluminescence app…
Gallium-Boron-Phosphide (GaBP): A New III-V Semiconductor for photovoltaics
Upendra Kumar, Sanjay Nayak, Soubhik Chakrabarty +2
Using machine learning (ML) approach, we unearthed a new III-V semiconducting material having an optimal bandgap for high efficient photovoltaics with the chemical composition of G…
Band Tuning of Phosphorene Semiconductor via Floquet Theory
Km Arti Mishra, Almas, Upendra Kumar
Graphene and phosphorene are monolayer of graphite and phosphorous, respectively. Graphene is completely relativistic (Dirac) fermionic system, but phosphorene is pseudorelativisti…
Inducing half metallicity with alloying in Heusler Compound CoFeMnSb
Upendra Kumar, P. V. Sreenivasa Reddy, Satadeep Bhattacharjee +1
First principles studies were performed in order to find out the possibility of inducing half-metallicity in Heusler Compound CoFeMnSb, by means of alloying it with 3d-transition m…