Research and Outreach

Micro-mechanics (Localised plasticity and deformation behaviour) of hydride-containing Zr−2.5%Nb alloy 

Additive manufacturing of high entropy alloys

Machine learning based modelling of materials properties

Chandraker et al., Additively manufactured Co–Cr–Ni multi-principal element alloys with excellent strength and ductility at room and cryogenic temperatures, Virtual and Physical Prototyping (2025) 

Chandraker et al., Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System, Metallurgical and Materials Transactions A (2025)

Rahman et al., Data-driven machine learning approach for predicting dwell fatigue life in two classes of Titanium alloys, Engineering Fracture Mechanics (2024)