Hydrogen Interaction with materials

Machine Learning for Materials Property Predictions and Fatigue crack nucleations

Publications: 

Predicting crack nucleation in commercially pure titanium using orientation imaging microscopy and machine learning, Materials Letters, 2025

Present: Euler Motors

Creep of  L-PBF titanium alloy

Strain rate effects on slip activity in titanium

Ratchetting fatigue and dwell fatigue of L-PBF Titanium alloy

Publications: 

Mitigating room-temperature tensile and creep anisotropy in laser powder bed fusion-processed Ti6Al4V by modulating slip activity and intervariant boundary distribution through post-printing heat treatment, Acta Materialia, 2025. 

Present: Research Assistant, IISc Bangalore

L-PBF of Ti-6Al-7Nb

Variant selection mechanisms in L-PBF titanium alloys

Creep of  L-PBF titanium alloy

Publications: 

Mitigating room-temperature tensile and creep anisotropy in laser powder bed fusion processed Ti6Al4V by modulating slip activity and intervariant boundary distribution through post-printing heat treatment, Acta Materialia, 2025

Present: Research Assistant, IISc Bangalore

Materials property predictions using ML, Hydrogen Interaction with materials, Creep of  L-PBF titanium alloy

Present:

Creep of  L-PBF titanium alloy, Hydrogen Interaction with Materials

Materials property predictions using ML

Present: EMB Global

Creep of  L-PBF titanium alloy

Publications: 

Mitigating room-temperature tensile and creep anisotropy in laser powder bed fusion processed Ti6Al4V by modulating slip activity and intervariant boundary distribution through post-printing heat treatment, Acta Materialia, 2025 

Present: Pernod Ricard

Design of an efficient portable metallographic polishing system, 2025

Design registration in Indian Patent Office

PORTABLE METALLOGRAPHIC SAMPLE PREPARATION SYSTEM, DESIGN No: 452601-001

Present: -

Machine learning for fatigue crack nucleation predictions

Predicting crack nucleation in commercially pure titanium using orientation imaging microscopy and machine learning, Materials Letters, 2025.

Present: Nomura