Novel properties associated with nanothermites have attracted great interest for several applications, including lead-free primers and igniters. However, the prediction of quantitative structure-energetic performance relationships are still challenging. This study investigates machine learning methods as tools to surrogate complex physical...
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February 2022 (v1)Journal articleUploaded on: December 3, 2022
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September 11, 2024 (v1)Publication
The discovery and optimization of materials still remains a significant challenge when dealing with a very large feature space, limited data, and, if the experiments and/or calculations are expensive to perform. This paper presents intelligent sampling methods designed to guide experiments or computations towards user-defined specific regions,...
Uploaded on: October 3, 2024 -
December 21, 2022 (v1)Report
Rapport des travaux 2022 effectués dans le Laboratoire de recherche correspondant sur L'Instrumentation et les Capteurs Ultra-Rapides (LICUR)
Uploaded on: February 22, 2023