54 citations · 153 across the 10 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cond-mat.mtrl-sci2024★ 2 cited
Defect energy formalism for CALPHAD thermodynamics of dilute point defects: Theory
Amir M. Orvati Movaffagh, Adetoye Adekoya, Sara Kadkhodaei
The thermodynamics of point defects is crucial for determining the functional properties of materials. Defect stability is typically assessed using grand-canonical defect formation…
cond-mat.mtrl-sci2024★ 14 cited
Impact of Data Bias on Machine Learning for Crystal Compound Synthesizability Predictions
Ali Davariashtiyani, Busheng Wang, Samad Hajinazar +2
Machine learning models are susceptible to being misled by biases in training data that emphasize incidental correlations over the intended learning task. In this study, we demonst…