A5080540711- High Entropy Alloys Studies
- Graphene research and applications
- Titanium Alloys Microstructure and Properties
- Graphene and Nanomaterials Applications
- Advanced Photocatalysis Techniques
- Machine Learning in Materials Science
- Perovskite Materials and Applications
- Shape Memory Alloy Transformations
- Electrochemical sensors and biosensors
Indian Institute of Technology Bhubaneswar
2022-2023
A material's electronic properties and technological utility depend on its band gap value the nature of (i.e. direct or indirect). This gaps is notoriously difficult to compute from first principles. In fact it computationally intense approximate also rather time consuming. Hence prediction represents a challenging problem. Machine learning based approach offers promising efficient means address this Here we predict for perovskite oxides (ABO3) with elemental composition, ionic radius,...
Abstract The austenite phase of Ni 50− x Ti 50 Ag for different concentrations ( = 1, 1.5, 2, 3, 5, 7, 8, 10) has been analyzed in this work. ground state, structural, and mechanical characteristics various are examined under ambient conditions. From total energy as well formation calculations, it is found that the stability increased up to 5 after becomes unstable nature. These results good agreement with our experimental results. other theoretical agree estimated lattice parameter values....