I’m Saswata Bhattacharyya, Professor at IIT Hyderabad. I develop computational models to understand how microstructures evolve and how they shape the properties of materials.
These images come from the doctoral research of my students at IIT Hyderabad. Each pattern reflects a physical question, a mathematical model and the careful work of understanding the result.
See how elastic stresses affect phase arrangement and coarsening in a three-phase alloy.
Three-phase patterns evolve and coarsen under elastic anisotropy. The sequence shows alloy E₁⟨11⟩; time is dimensionless. The original RGB composition mapping is retained.
From the PhD thesis of Sandeep Sugathan (2019), A Phase-Field Study of Elastic Stress Effects on Phase Separation in Ternary Alloy Systems.
Explore elastic stress effects →See how electrostrictive constraints reorganize three-dimensional ferroelectric domains.
Room-temperature domain evolution in equimolar BZCT. In each row, time advances from left to right: 10,000 → 50,000 → 150,000 (dimensionless). Colors identify polarization variants; they do not show concentration. T, R and O denote tetragonal, rhombohedral and orthorhombic phases.
From the PhD thesis of Soumya Bandyopadhyay (2020), A Phase-Field Study of Electromechanical Effects on Domain Evolution and Polarization Switching in Bulk, Thin-Film and Multi-layer Ferroelectric Perovskite Oxides. Read the related paper ↗
Explore phase-field research →Original scientific images extracted from the supplied theses; colors, proportions and embedded labels are preserved. Select an image to see it at its source resolution.
Modeling and simulation of microstructural evolution toward accelerated materials design.
The Computational Microstructures Group (CμMS) brings together phase-field modeling, elasticity, transport, inverse methods and scientific software. Visit the group site for people, projects, codes, preprints, posters and experiments in computational materials science.
My research brings together phase transformations, elastic stress effects, micromechanics and physics-informed neural networks (PINNs). We develop physics-based models and computational tools for alloys and functional oxides, spanning microstructural evolution, diffusion and coupled mechanical effects.
My academic advisers: Prof. T. A. Abinandanan, my PhD adviser at IISc, and Prof. Long-Qing Chen, my postdoctoral research adviser at Penn State.
Academic background ↗Phase separation, precipitation and coarsening in alloys; ferroic domain evolution in oxides.
↗COUPLINGAnisotropic misfit, elastic interactions and their effects on phase separation and microstructural evolution.
↗PHYSICS-INFORMED LEARNINGPINN-based inverse methods for extracting diffusion coefficients and mobility data from experimental profiles.
↗Use the equations in a calculation and examine the results. Explore a learning pathway, open-source solvers and a reproducible phase-field example.
Enter the resource library ↗Anuj Dash, Aloke Paul, Sergiy Divinski and Saswata Bhattacharyya
Ismail Kamil Worke, Suman Sadhu, Saswata Bhattacharyya and Aloke Paul
Suman Sadhu, Saswata Bhattacharyya and Aloke Paul
My understanding, confusions, questions and discoveries. A space for photographs, exchanging ideas and discussing science.
Explore The Fun in Science →