14 citations · 28 across the 11 of their papers we have counts for
11 papers
Linking Electronic Bonding and Short-range Order to Strength in -Titanium Alloys: A First-Principles Study
Md Faiz Akhtar, Nilesh P. Gurao, Somnath Bhowmick
The development of accurate strength prediction models for titanium alloys is critical for advanced materials design. This study systematically examines how the mechanical properti…
Bridging Phase-Field Model and Deep Learning for Predicting 2D and 3D Microstructure Evolution in Ternary Alloys
Owais Ahmad, Aravind K, Naveen Kumar +3
We develop a hybrid framework that integrates a phase-field model (PFM) with an attention-enhanced deep learning (DL) architecture to study ternary spinodal dealloying, a sophistic…
Physics Aware Representation Learning on Electronic Charge Density for Materials Property Prediction
Kammampati Sai Kumar, Albert Linda, Shubham Kumar Maurya +1
The fundamental quantity governing the mechanical and thermodynamic properties of a crystalline solid is its electronic charge density. Yet, its direct use for the rapid prediction…
Multiscale Modeling of Abnormal Grain Growth: Role of Solute Segregation and Grain Boundary Character
Albert Linda, Rajdip Mukherjee, Somnath Bhowmick
Abnormal grain growth (AGG) influences the properties of polycrystalline materials; however, the underlying mechanisms, particularly the role of solute segregation at the grain bou…
Deep Learning-Driven Prediction of Microstructure Evolution via Latent Space Interpolation
Sachin Gaikwad, Thejas Kasilingam, Owais Ahmad +2
Phase-field models accurately simulate microstructure evolution, but their dependence on solving complex differential equations makes them computationally expensive. This work achi…
Microstructural Studies Using Generative Adversarial Network (GAN): a Case Study
Owais Ahmad, Vishal Panwar, Kaushik Das +2
The generative adversarial network (GAN) is one of the most widely used deep generative models for synthesizing high-quality images with the same statistics as the training set. Fi…
Grain boundary grooving in thin film under the influence of an external magnetic field: A phase-field study
Soumya Bandyopadhyay, Somnath Bhowmick, Rajdip Mukherjee
Using a phase-field model, we study the surface diffusion-controlled grooving of a moving grain boundary under the influence of an external magnetic field in thin films of a nonmag…
Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning
Albert Linda, Md. Faiz Akhtar, Shaswat Pathak +1
Stacking fault energies (SFEs) are vital parameters for understanding the deformation mechanisms in metals and alloys, with prior knowledge of SFEs from ab initio calculations bein…
Microstructure-property prediction of a Ni-based superalloy: A combined phase-field and finite element modelling approach
Rupesh Chafle, Vishal Panwar, Kaushik Das +2
Multiscale modelling is a new paradigm that has emerged in recent times to study the well-known problem of the process-structure-property relationship in the area of materials scie…
2mech: a Software Package Combining Microstructure Modeling and Mechanical Property Prediction
Albert Linda, Ankit Singh Negi, Vishal Panwar +4
We have developed a graphical user interface (GUI) based package 2mech to perform phase-field simulation for predicting microstructure evolution. The package can take inputs fro…
Differences in the Mechanical Properties of Monolayer and Multilayer WSe2/MoSe2
Y. M. Jaques, P. Manimunda, Y. Nakanishi +7
Transition metal dichalcogenides are 2D structures with remarkable electronic, chemical, optical and mechanical properties. Monolayer and crystal properties of these structures hav…