1 citations · 1 across the 3 of their papers we have counts for
3 papers
Predicting the formation and stability of oxide perovskites by extracting underlying mechanisms using machine learning
George Stephen Thoppil, Alankar Alankar
The optimization of properties of perovskite oxides has drawn interest on account of their diverse areas of application. In this work, the hierarchical clustering technique is used…
Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials
B V S S Bharadwaja, Mohammad Amin Nabian, Bharatkumar Sharma +2
In this work, a model based on the Physics - Informed Neural Networks (PINNs) for solving elastic deformation of heterogeneous solids and associated Uncertainty Quantification (UQ)…
Relative relevance of mobility and driving force on edge dislocation climb by the vacancy mechanism
Enrique Martinez, Alankar Alankar, Alfredo Caro +1
In this work we examine the driving force for edge dislocations to climb in -Fe from atomistic and mesoscale viewpoints. We study the bias for the climb process depending on the…