Rapid characterization of microstructural properties such as phase, crystallographic texture, and grain size distribution is critical to accelerating the discovery and development of new materials and processing routes. Our goal in this work is to increase the throughput of microstructure characterization by transmission high-energy…
The discovery of new structural materials is slow, costly and limited, particularly for applications in extreme conditions that are challenging to mimic for characterization of properties. To address this challenge with a focus on high temperature applications, we are developing a framework to discover…
We study the fragmentation response of a thin ring undergoing radially expanding loading, as the analysis can be carried out in 1D and all the domain undergoes a spatially uniform and temporally increasing loading. We assume that the underlying material properties are random fields….
During Phase I of the HTMDEC program, the BIRDSHOT team focused on demonstrating the capability to execute each of the HTMDEC major capability thrusts (high-throughput synthesis, characterization, testing, simulation) in an integrated manner within a principled iterative Bayesian Optimization (BO) framework. We aimed to…
Current material genomics approaches face challenges in efficiently exploring the high dimensional design space of polymer-bonded explosives (PBX), which play a critical role in understanding their sensitivity under shock loading conditions. These challenges lead to high computational costs and limited insights. Our innovative Bayesian…