1 citations · 1 across the 2 of their papers we have counts for
3 papers
G-RAG: Knowledge Expansion in Material Science
Radeen Mostafa, Mirza Nihal Baig, Mashaekh Tausif Ehsan +1
In the field of Material Science, effective information retrieval systems are essential for facilitating research. Traditional Retrieval-Augmented Generation (RAG) approaches in La…
Graph neural network framework for energy mapping of hybrid monte-carlo molecular dynamics simulations of Medium Entropy Alloys
Mashaekh Tausif Ehsan, Saifuddin Zafar, Apurba Sarker +2
Machine learning (ML) methods have drawn significant interest in material design and discovery. Graph neural networks (GNNs), in particular, have demonstrated strong potential for…
Atomistic insights into Cu segregation effects on irradiation-induced defect dynamics in medium-entropy alloys
Kazi Tawseef Rahman, Mustofa Sakif Shahriar, Mashaekh Tausif Ehsan +1
Copper (Cu) segregation in medium and high-entropy alloys (M/HEAs) has shown significant influence on alloy properties. In this study, we investigate the effect of Cu segregation o…