MML is part of the Department of Metallurgical Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi. Our research interests include:
- Computational Thermodynamics
- Experimental and DFT-based thermochemical data
- Cluster Variation Method and Cluster Expansion-based Gibbs energy models
- Developing algorithms and software for phase diagram assessment optimization
- Development of CALPHAD databases and their applications in novel materials and processes
To advance these areas, we are actively developing computational thermodynamics tools to design alloys and materials. See Research.
We are looking for passionate new PhD and Master students to join the team!
We are grateful for funding from IIT (BHU), Science and Engineering Research Board (SERB), and the Armaments Research Board (DRDO).
News
- Published paper on "Effect of hot-pressing sintering temperature and pressure on the densification and properties of Ti-TiB composites"
- Our paper on "A Neural Network Driven Approach for Characterizing the Interplay Between Short Range Ordering and Enthalpy of Mixing of Binary Subsystems in the NbTiVZr High Entropy Alloy"
- Shanker Kumar successfully defended his PhD thesis on January 19, 2024. Congratulations!
- Published paper on "Influence of micro-segregation on the microstructure, and microhardness of MoNbTaxTi(1-x)W refractory high entropy alloys"
- Modeling Short-Range Ordering in Binary BCC Ti-X (X = Nb, V, Zr) Alloys using CE-CVM"
- Published paper on "Reciprocating Wear of Ti-TiB In Situ Composites"
- Thermodynamic Re-assessment of the Nb-Zr System"