S
Sudha Priyanga
Indian Institute of Technology Madras
Research areas: Materials Science · Materials Chemistry · High-pressure geophysics and materials · Boron and Carbon Nanomaterials Research · Machine Learning in Materials Science
0000-0002-3328-9782
About
My focus is on predicting all the basic properties of compositionally complex oxides, oxynitrides and nitrides, and nanometals for energy and environmental engineering related applications. In particular using functional nanostructures identified above for solar energy harvesting, efficient light emission systems, and environmental remediation have been my thrust areas.
Employment
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Indian Institute of Technology Madras Post Doctoral Fellow2017 - 2020
Education
Education history is unavailable.
Projects & Funding
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Investigation of structural stability, electronic structure, magnetic and optical properties of some solar energy materials DST-SERB2017 - 2019
Publications (66)
- Machine Learning Analysis of Dimensionality Effects on Bandgap Prediction Save
- Interfacial dynamics and catalytic behavior of single Ni atom site Save
- Temperature-dependent performance prediction for cerium oxynitride solid-state symmetric supercapacitor using machine learning Save
- Prediction of crystal structure, phase group, and stability of 2D materials through data science coupled with DFT Save
- Trends and insights into alloying elements impact on predicted battery voltage in metal-ion batteries Save
- Study of Electronic and Optical Properties of Low-Dimensional Nanosystems by First Principles Calculations Save
- Advanced prediction of perovskite stability for solar energy using machine learning Save
- A comprehensive overview of the graphitic-carbon nitride computational approach: From basic properties to a wide range of applications Save
- Interfacial Dynamics and Catalytic Behavior of Single Ni Atom Site Save
- Structural and mechanical properties of NiTiAg shape memory alloys: ab-initio study Save
- Effect of dopants and microstructure on the electrochemical cyclic stability of layered P2-type Na0.67MnO2 prepared by different chemical routes: An experimental and theoretical study Save
- Discovery of Novel Photocatalysts Using Machine Learning Approach Save
- Shape memory ceramics Save
- Prediction of nature of band gap of perovskite oxides (ABO3) using a machine learning approach Save
- Design of hydrangea-type Co/Mo bimetal MOFs and MOF-derived Co/Mo2C embedded carbon composites for highly efficient oxygen evolution reaction Save
- Influences of Temperature on Band Energetics and Electrochemical Performance of Cerium Oxynitride in a Symmetric Aqua-Based Supercapacitor Save
- Magnetism, half-metallicity and bonding in AlFeO3 and the impact of In-doping Save
- A Surface-Oxide-Rich Activation Layer (SOAL) on Ni2Mo3N for a Rapid and Durable Oxygen Evolution Reaction Save
- Enhanced solar light driven hydrogen generation and environment remediation through Nd incorporated ZnIn2S4 Save
- Strain-induced effects in the electronic and optical properties of Na0.5Bi0.5TiO3: An ab-initio study Save