Sharan Roongta

Sharan Roongta is a Researcher at the Max Planck Institute for Sustainable Materials, affiliated with the Department of Microstructure Physics and Alloy Design. His work focuses on computational materials engineering and multi-physics simulations, particularly within the DAMASK framework. He explores chemo-mechanical coupling, crystal plasticity, and machine learning applications in materials science.

Research interests include developing simulation tools for advanced materials characterization, optimizing multi-physics models for real-world applications, and addressing challenges in collaborative software development. His contributions span the integration of chemo-mechanical damage modeling, machine learning-enhanced yield surface prediction, and high-performance computing strategies.

Notable contributions include the DAMASK Python library for simulation processing and scalable multi-physics frameworks. His work emphasizes bridging theoretical models with practical applications in metallic systems and materials design.