14 citations · 28 across the 11 of their papers we have counts for
3 papers · 1 filter
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…