2 papers
physics.comp-ph2025
Leveraging Large Language Models to Address Data Scarcity in Machine Learning: Applications in Graphene Synthesis
Devi Dutta Biswajeet, Sara Kadkhodaei
Machine learning in materials science faces challenges due to limited experimental data, as generating synthesis data is costly and time-consuming, especially with in-house experim…
cond-mat.mtrl-sci2024
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…