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Research Interests
We work at the intersection of physics, maths, and computer programming. Our research interest is to develop predictive, physics-based understanding of material deformation, degradation, and failure by unifying mechanics, transport, chemistry, and evolving interfaces across length and time scales, with relevance to structural, energy, and biomedical systems.
Computational Physics and Materials Engineering (CPME) Lab
The CPME Lab at IIT Bombay focuses on physics-driven research in computational mechanics of materials, with an emphasis on fundamental mechanisms governing failure and degradation. The lab develops phase-field theory–based mechanistic models for fracture, corrosion, hydrogen-assisted damage, stress corrosion cracking, and interface evolution, firmly grounded in continuum mechanics and thermodynamics. These models are realised through carefully designed numerical formulations and scalable high-performance simulations that enable the study of complex, multi-physics processes at engineering-relevant scales. By prioritising physical consistency, mathematical rigour, and systematic validation, CPME lab advances reliable predictive frameworks that deepen scientific understanding and support the design and assessment of durable material systems.
Computational Mechanics and Fracture Mechanics
Our research focuses on understanding the fundamental mechanisms of failure in materials, encompassing brittle, quasi-brittle, and ductile solids. We aim to develop mechanistic models grounded in first-principle calculations, utilising a minimal set of parameters that can be directly measured experimentally. These models are designed to capture the complexities of material behaviour, particularly under conditions leading to fracture and failure.
Phase Field Theory
Our research endeavour focuses on advancing the Phase Field Theory, a revolutionary mathematical framework for regularising evolving sharp interfaces. This theory provides a robust approach to transition from sharp to diffuse interfaces, offering a unified methodology for modelling interface evolution across a variety of physical phenomena.
Hydrogen embrittlement of metallic components
One of the key directions of our research focuses on hydrogen embrittlement (HE), a critical phenomenon threatening the integrity of metallic components in hydrogen storage and transport infrastructure. As hydrogen emerges as a clean energy carrier, the degradation of metallic components caused by HE threatens the integrity and safety of hydrogen transport and storage infrastructure. HE occurs when hydrogen atoms diffuse into metals, reducing their ductility, strength, and fracture toughness, ultimately leading to premature failure.
Stress corrosion cracking
One of our key research directions is the study of stress corrosion cracking (SCC), a complex phenomenon that combines mechanical loading and corrosive environments to drive the nucleation and growth of cracks in metallic materials. SCC is a critical challenge to the reliability and structural integrity of engineering components, as it arises from intricate multi-physics interactions involving electrochemistry, mechanics, and material properties. Despite decades of research, the underlying mechanisms governing SCC remain incompletely understood, limiting the ability to predict and mitigate its effects effectively.
Biocorrosion and Biodegrdation
Magnesium (Mg) alloys are emerging as ideal materials for biodegradable implants due to their exceptional mechanical properties, biocompatibility, and natural degradation in vivo. However, their accelerated corrosion, driven by low electronegativity, remains a critical challenge, compromising structural integrity before tissue healing is complete. Addressing this requires a fundamental understanding of the complex interactions between electrochemical reactions, mechanical behaviour, and microstructural characteristics.

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Corrosion of Thin Walled Structures
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This research aims to develop advanced electro-chemo-mechanical models to predict and mitigate corrosion in thin-walled structures across industries like aerospace, automotive, and marine. Complementing traditional experiment-based approaches, it focuses on capturing microstructural effects, welding processes, and corrosion-resistant coatings using phase-field modelling. The project addresses limitations such as high costs and incomplete representation of corrosion evolution, with objectives to simulate corrosion mechanisms, optimise coating designs, and improve material performance. These advancements will enhance structural integrity, reduce failure risks, and streamline the development of corrosion-resistant solutions in demanding environments.
Biodegradation of Mg alloy Implants
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This research focuses on developing a robust phase field model to predict and enhance the corrosion resistance of coatings for biomedical applications, particularly in magnesium (Mg) alloys. These alloys offer excellent mechanical properties and biocompatibility but suffer from accelerated corrosion due to low electronegativity. The study investigates the interplay between pitting corrosion, micro-crack formation, and the breakdown of impermeable Mg(OH)₂ layers, linking these mechanisms to non-uniform corrosion behavior. It incorporates the effects of coating microstructure, alloy composition, and biological factors. Virtual testing of coated substrates under physiological conditions will assess performance from lab-scale specimens to real-scale implants. The ultimate goal is to design next-generation coatings that inhibit corrosion, improving the durability and serviceability of biomedical implants.
Fracture and Fatigue in Additively Manufactured Structures
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This research aims to develop a multiscale modelling framework to predict fracture and fatigue behaviour in additively manufactured (AM) and repaired components. Addressing challenges such as microstructural heterogeneities, residual stresses, and defects, the model integrates crystal plasticity for micro-scale analysis and phase-field fracture methods for macro-scale failure predictions. By coupling fatigue indicators with adaptive numerical techniques, the framework captures crack initiation, propagation, and structural integrity under operational conditions. This approach provides a computationally efficient tool for optimising AM processes and repair strategies, ensuring safe and reliable applications in aerospace, automotive, energy, and space industries.
Hydrogen Embrittlement and SCC
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Models to effectively predict stress-corrosion-cracking of pipelines carrying hydrogen