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cond-mat.mtrl-sci2026★ 1 cited
AIMD-L: An automated laboratory for high-throughput characterization of structural materials for extreme environments
Todd C. Hufnagel, Pranav Addepalli, Anuruddha Bhattacharjee +14
Rapid developments in artificial intelligence and machine learning as applied to materials science are creating an urgent need for experimental data, which can be provided by high-…
cond-mat.mtrl-sci2026★ 1 cited
The effect of chemical vapor infiltration process parameters on flexural strength of porous α-SiC: A numerical model
Joseph J. Marziale, Jason Sun, Eric A. Walker +3
The flexural strength variability of α-SiC based ceramics at elevated temperatures creates the need for an Integrated Computational Materials Engineering (ICME) framework that rel…