Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy …
Abstract Design of high entropy alloys (HEA) presents a significant challenge due to the
large compositional space and composition-specific variation in their functional behavior …
large compositional space and composition-specific variation in their functional behavior …
[HTML][HTML] Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling
N Beaver, A Dive, M Wong, K Shimanuki, A Patil… - Crystals, 2024 - mdpi.com
To develop a rapid, reliable, and cost-effective method for predicting the structure of single-
phase high-entropy alloys, a Graph Neural Network (ALIGNN-FF)-based approach was …
phase high-entropy alloys, a Graph Neural Network (ALIGNN-FF)-based approach was …
Mathematical Modeling for High Entropy Materials
B Sokouti - High Entropy Materials - taylorfrancis.com
As a result of simulations of high entropy alloys, we have understood their lattice structure,
defect structure, and deformation mechanism to understand their remarkable mechanical …
defect structure, and deformation mechanism to understand their remarkable mechanical …