CoSMoR: Decoding decision-making process along continuous composition pathways in machine learning models trained for material properties
A key challenge in materials informatics is to decode the decision-making process of
machine learning (ML) models that have been trained to predict material properties. The …
machine learning (ML) models that have been trained to predict material properties. The …
Understanding solidification of near eutectic alloy using Cellular Automata (CA)
The solidification microstructure of an alloy strongly influences the mechanical properties.
Dendritic and eutectic solidification are two important pathways of alloy solidification. The …
Dendritic and eutectic solidification are two important pathways of alloy solidification. The …
Predictions and correlation analyses of Ellingham diagrams in binary oxides
Knowing oxide-forming ability is vital to gain desired or avoid deleterious oxides formation
through tuning oxidizing environment and materials chemistry. Here, we have conducted a …
through tuning oxidizing environment and materials chemistry. Here, we have conducted a …
[HTML][HTML] Ellingham diagrams of binary oxides
Controlling the oxidation state of constituents by tuning the oxidizing environment and
materials chemistry is vital to the successful synthesis of targeted binary or multicomponent …
materials chemistry is vital to the successful synthesis of targeted binary or multicomponent …
Molecular Dynamics Simulations of Diffusivity in an Atomic Scale Diffusion Multiple
Accurate measurement of diffusivity is critical for several diffusion-controlled materials
phenomena ranging from creep to oxidation. Experimental measurements of diffusion …
phenomena ranging from creep to oxidation. Experimental measurements of diffusion …