2 citations · 2 across the 4 of their papers we have counts for
4 papers
Comprehensive Mapping of Tracer Diffusivities Across Composition Space in Ternary NiAlTi and Quinary NiCoFeAlTi High-Entropy Alloy Using Diffusion Couple Experiments and Physics Informed Neural Network Inversion
Ismail Kamil Worke, Suman Sadhu, Saswata Bhattacharyya +1
A comprehensive experimental and physics informed neural network numerical inverse diffusion analysis is conducted in technologically important NiAlTi ternary and NiCoFeAlTi quinar…
Extracting Composition-Dependent Diffusion Coefficients Over a Very Large Composition Range in NiCoFeCrMn High Entropy Alloy Following Strategic Design of Diffusion Couples and Physics Informed Neural Network Numerical Method
Suman Sadhu, Saswata Bhattacharyya, Aloke Paul
Estimating composition dependent diffusion coefficients in multicomponent alloys was a longstanding challenge due to limitations in experimental methods. In this study, we have fir…
An Experimental Estimation Method of Diffusion Coefficients in Ternary and Multicomponent Systems from a Single Diffusion Couple Profile
Suman Sadhu, Anindita Chakraborty, Surendra Makineni +2
Until recently, it was textbook knowledge that the diffusion coefficients could not be estimated in a multi-component system following the widely practised diffusion couple method.…
Surface-directed and bulk spinodal decomposition compete to decide the morphology of bimetallic nanoparticles
P. Pankaj, Saswata Bhattacharyya, Subhradeep Chatterjee
An embedded-domain phase-field formalism is used for studying phase transformation pathways in bimetallic nanoparticles (BNPs). Competition of bulk and surface-directed spinodal de…