Abstracts

This study presents BIRDSHOT, an integrated Bayesian materials discovery framework designed to efficiently explore complex compositional spaces while optimizing multiple material properties. We applied this framework to the CoCrFeNiVAl FCC high entropy alloy (HEA) system, targeting three key performance objectives: ultimate tensile strength/yield strength…

High Entropy Alloys (HEAs) are promising for next-generation structural materials due to their potential to enhance their mechanical properties by optimizing their underlined microstructure via compositional variations and processing design. Establishing the relationship between the properties and underlined microstructure is, thus, a stepping stone…

In cold-pressed or hot-pressed SiC ceramics, grain boundary volume fraction can be significant depending on grain size. Ultrafine-grained SiC with 100–500 nm grain size typically has 2–10 vol% grain boundaries. Coarser-grained SiC with a few micros grain size usually has about 1 vol% grain…

Spall refers to a material failure caused by tensile stress waves, a phenomenon with critical implications in materials subjected to extreme conditions, such as ballistic impact and explosive loading. During the shock loading of single crystals, an amorphization of the atomic structure occurs at…

The advancement of materials design is often constrained by the computational expense of physics-based simulations, limiting the generation of comprehensive and diverse datasets. Addressing this limitation involves improving sampling strategies to more efficiently navigate the material design space and identify promising material configurations with…

Silicon Carbide (SiC) possesses exceptional physical properties, such as low density, high stiffness and high hardness, which renders it a highly versatile engineering material for hypervelocity and armor protection applications. However, the characterization of SiC in response to shock is significantly challenging. From an…