Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Harnessing Phonon Wave Resonance in Carbyne-Enriched Nano-Interfaces to Enhance Energy Release in Nanoenergetic Materials

Version 1 : Received: 30 October 2023 / Approved: 30 October 2023 / Online: 30 October 2023 (13:59:54 CET)
Version 2 : Received: 26 January 2024 / Approved: 29 January 2024 / Online: 29 January 2024 (04:45:42 CET)

How to cite: Lukin, A.; Gülseren, O. Harnessing Phonon Wave Resonance in Carbyne-Enriched Nano-Interfaces to Enhance Energy Release in Nanoenergetic Materials. Preprints 2023, 2023101917. https://doi.org/10.20944/preprints202310.1917.v1 Lukin, A.; Gülseren, O. Harnessing Phonon Wave Resonance in Carbyne-Enriched Nano-Interfaces to Enhance Energy Release in Nanoenergetic Materials. Preprints 2023, 2023101917. https://doi.org/10.20944/preprints202310.1917.v1

Abstract

This paper introduces an innovative nanotechnology-based approach that provides a pathway to enhance the energy release efficiency of nanoenergetic materials (nEMs) by harnessing self-synchronized collective atomic vibrations and phonon wave resonance within the transition domains between nanocomponents, without altering the material composition. The key innovation involves incorporating finely-tuned 2D-ordered linear-chain carbon-based multilayer nano-enhanced interfaces as programmable nanodevices into the transition domains using advanced multistage processing and assembly techniques. These programmable nanodevices enable precise control over self-synchronized collective atomic vibrations and phonon wave propagation, leading to synergistic effects. To activate and optimize these effects, a combination of various methods is employed, including energy-driven initiation of allotropic phase transformations, surface acoustic wave-assisted micro/nano-manipulation, heteroatom doping, directed self-assembly using high-frequency electromagnetic fields, and data-driven inverse design approaches. By leveraging a data-driven inverse design strategy and uncovering hidden structure-property relationships, we maximize energy release efficiency using the carbon nanomaterials genome approach derived from multifactorial neural network-based predictive models. This approach not only unlocks new functionalities in nEMs but also improves environmental performance and safety levels. By pioneering transformative pathways for nEMs through harnessing phonon wave resonance in low-dimensional nanocarbon transition interfaces, this research brings significant advancements in the field.

Keywords

nano-energetic materials; 2D-ordered linear-chain carbon; multi-layered nano-interfaces; self-synchronized collective atomic vibrations; phonon wave resonance; ion-assisted pulse-plasma assembling; synergistic effects; carbon nanomaterial genome approach; data-driven inverse de-sign; energy release efficiency

Subject

Chemistry and Materials Science, Nanotechnology

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