Sasan Rezaee*, Ebrahim Kadivar and Ould el Moctar,
{"title":"基于分子动力学的激光诱导空化泡方法:桥接实验和混合分析计算方法。","authors":"Sasan Rezaee*, Ebrahim Kadivar and Ould el Moctar, ","doi":"10.1021/acs.langmuir.5c00857","DOIUrl":null,"url":null,"abstract":"<p >Cavitation phenomena and their importance drive research efforts to characterize their behavior through experimental, analytical, and computational approaches. However, experimental approaches struggle to capture molecular-level details; analytical methods are often limited in application and accuracy; and computational techniques may miss key physical phenomena such as phase transitions. To address these limitations, the current study introduces laser-based molecular dynamics (MD) based on a coarse-grained (CG) model as a promising approach to investigate the dynamics of cavitation bubbles at the molecular-level, covering nucleation, growth, collapse, evaporation, phase transition, liquid–vapor interphase, and subsequent regrowth/collapse cycles. The research was performed with an experimental study on millimeter-scale bubble cavitation under ambient and free conditions. The obtained observations were used to model the laser–liquid interaction. This analytical model was then implemented in an MD method to investigate the dynamics of the nanobubbles. The simulations revealed that directing a 1 fJ laser pulse at water generates a hot plasma, which expands spherically through collision cascades and generates a nanobubble. The nanobubble grows to a maximum radius of 5.26 nm and collapses within 17 ps, followed by subsequent regrowth/collapse cycles. At maximum radius, the vapor–liquid interphase exhibits a thickness of 0.8 nm with a density range of 0.105 to 0.840 g/cm<sup>3</sup>. Cold evaporation temperatures ranging from 300 to 315 <i>K</i> and vapor density of 4.5<sub>–1.5</sub><sup>+1.5</sup> × 10<sup>–5</sup> g/cm<sup>3</sup> were captured inside the nanobubble. These results, which align with experimental data, confirm the effectiveness of the proposed MD-based algorithm in investigating laser-induced cavitation nanobubbles. Moreover, this algorithm can be extended to investigate radical species of water or chemical reactions under laser radiation and cavitation in all-atom model simulations.</p>","PeriodicalId":50,"journal":{"name":"Langmuir","volume":"41 29","pages":"19071–19087"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular Dynamics-Based Approach for Laser-Induced Cavitation Bubbles: Bridging Experimental and Hybrid Analytical–Computational Approaches\",\"authors\":\"Sasan Rezaee*, Ebrahim Kadivar and Ould el Moctar, \",\"doi\":\"10.1021/acs.langmuir.5c00857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Cavitation phenomena and their importance drive research efforts to characterize their behavior through experimental, analytical, and computational approaches. However, experimental approaches struggle to capture molecular-level details; analytical methods are often limited in application and accuracy; and computational techniques may miss key physical phenomena such as phase transitions. To address these limitations, the current study introduces laser-based molecular dynamics (MD) based on a coarse-grained (CG) model as a promising approach to investigate the dynamics of cavitation bubbles at the molecular-level, covering nucleation, growth, collapse, evaporation, phase transition, liquid–vapor interphase, and subsequent regrowth/collapse cycles. The research was performed with an experimental study on millimeter-scale bubble cavitation under ambient and free conditions. The obtained observations were used to model the laser–liquid interaction. This analytical model was then implemented in an MD method to investigate the dynamics of the nanobubbles. The simulations revealed that directing a 1 fJ laser pulse at water generates a hot plasma, which expands spherically through collision cascades and generates a nanobubble. The nanobubble grows to a maximum radius of 5.26 nm and collapses within 17 ps, followed by subsequent regrowth/collapse cycles. At maximum radius, the vapor–liquid interphase exhibits a thickness of 0.8 nm with a density range of 0.105 to 0.840 g/cm<sup>3</sup>. Cold evaporation temperatures ranging from 300 to 315 <i>K</i> and vapor density of 4.5<sub>–1.5</sub><sup>+1.5</sup> × 10<sup>–5</sup> g/cm<sup>3</sup> were captured inside the nanobubble. These results, which align with experimental data, confirm the effectiveness of the proposed MD-based algorithm in investigating laser-induced cavitation nanobubbles. Moreover, this algorithm can be extended to investigate radical species of water or chemical reactions under laser radiation and cavitation in all-atom model simulations.</p>\",\"PeriodicalId\":50,\"journal\":{\"name\":\"Langmuir\",\"volume\":\"41 29\",\"pages\":\"19071–19087\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Langmuir\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.langmuir.5c00857\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Langmuir","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.langmuir.5c00857","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Molecular Dynamics-Based Approach for Laser-Induced Cavitation Bubbles: Bridging Experimental and Hybrid Analytical–Computational Approaches
Cavitation phenomena and their importance drive research efforts to characterize their behavior through experimental, analytical, and computational approaches. However, experimental approaches struggle to capture molecular-level details; analytical methods are often limited in application and accuracy; and computational techniques may miss key physical phenomena such as phase transitions. To address these limitations, the current study introduces laser-based molecular dynamics (MD) based on a coarse-grained (CG) model as a promising approach to investigate the dynamics of cavitation bubbles at the molecular-level, covering nucleation, growth, collapse, evaporation, phase transition, liquid–vapor interphase, and subsequent regrowth/collapse cycles. The research was performed with an experimental study on millimeter-scale bubble cavitation under ambient and free conditions. The obtained observations were used to model the laser–liquid interaction. This analytical model was then implemented in an MD method to investigate the dynamics of the nanobubbles. The simulations revealed that directing a 1 fJ laser pulse at water generates a hot plasma, which expands spherically through collision cascades and generates a nanobubble. The nanobubble grows to a maximum radius of 5.26 nm and collapses within 17 ps, followed by subsequent regrowth/collapse cycles. At maximum radius, the vapor–liquid interphase exhibits a thickness of 0.8 nm with a density range of 0.105 to 0.840 g/cm3. Cold evaporation temperatures ranging from 300 to 315 K and vapor density of 4.5–1.5+1.5 × 10–5 g/cm3 were captured inside the nanobubble. These results, which align with experimental data, confirm the effectiveness of the proposed MD-based algorithm in investigating laser-induced cavitation nanobubbles. Moreover, this algorithm can be extended to investigate radical species of water or chemical reactions under laser radiation and cavitation in all-atom model simulations.
期刊介绍:
Langmuir is an interdisciplinary journal publishing articles in the following subject categories:
Colloids: surfactants and self-assembly, dispersions, emulsions, foams
Interfaces: adsorption, reactions, films, forces
Biological Interfaces: biocolloids, biomolecular and biomimetic materials
Materials: nano- and mesostructured materials, polymers, gels, liquid crystals
Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry
Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals
However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do?
Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*.
This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).