About
Contact & Profiles
A5046529312
Research Areas
- Machine Learning in Materials Science
- Energetic Materials and Combustion
- Electrostatics and Colloid Interactions
- Recycling and Waste Management Techniques
- Boron and Carbon Nanomaterials Research
- Advanced Numerical Analysis Techniques
- Computational Drug Discovery Methods
Laboratoire d'Analyse et d'Architecture des Systèmes
2022
Centre National de la Recherche Scientifique
2022
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 is still challenging. This study investigates machine learning methods as tools to surrogate complex physical models design novel optimized burning rates chosen energetic performance. The focuses on Al/CuO nanolaminates, which nine supervised regressors commonly...
10.1021/acs.jpca.1c09520
article
EN
The Journal of Physical Chemistry A
2022-02-14
10.1016/j.enmf.2024.08.004
article
EN
cc-by-nc-nd
Energetic Materials Frontiers
2024-09-01
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