Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks

Research article (The Journal of Physical Chemistry A, 2024) · cited 11× · AI/ML
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Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks

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Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-performance-models-for-energetic-materials-using-parsimonious-neural-networks
MLA “Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-performance-models-for-energetic-materials-using-parsimonious-neural-networks.
BibTeX @misc{4ortxyz_interpretable-performance-models-for-energetic-materials-using-parsimonious-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-performance-models-for-energetic-materials-using-parsimonious-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable Performance Models for Energetic Materials using Parsimonious Neural Networks — https://4ort.xyz/entity/interpretable-performance-models-for-energetic-materials-using-parsimonious-neural-networks (retrieved 2026-05-24)

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