FeCrAl alloys exhibit outstanding high-temperature oxidation resistance and impressive
mechanical strength, rendering them as forefront materials with broad applicability across …

A primary challenge of using FeCrAl in high temperature industrial settings is the formation
of α′-precipitates that causes brittleness in the alloy, resulting in failure through fracture …

The oxidation resistance of FeCrAl based on alloying composition and oxidizing conditions
is predicted using a combinatorial experimental and artificial intelligence approach. A neural …

Abstract Porous Fe-Cr-Al samples with different compositions and pore structures were
prepared by reactive synthesis. Oxidation tests for porous Fe-Cr-Al materials were …

Metal powder bed fusion additive manufacturing (AM) processes have gained widespread
adoption for the ability to produce complex geometries with high performance. However, a …

Establishing fast and accurate structure-to-property relationships is an important component
in the design and discovery of advanced materials. Physics-based simulation models like …

Discovering physics from data have the potential to advance our understanding and
prediction of a system where the governing physics are unknown but experimental data are …

With the advent of artificial intelligence (AI) and machine learning (ML), various domains of
science and engineering communites has leveraged data-driven surrogates to model …

Modern computational methods involving highly sophisticated mathematical formulations
enable several tasks like modeling complex physical phenomena, predicting key properties …

Establishing fast and accurate structure-to-property relationships is an important component
in the design and discovery of materials. Physics-based simulation models like the finite …