It has been reported that the self-assembly pattern of light levitating droplet clusters above the hot gas-liquid interface is dependent on the quantity of droplets. However, the already-reported theoretical explanation of the quantity-dependent self-assembly pattern cannot work well when the quantity of the light levitating droplet exceeds 15. Herein, we propose a new theoretical perspective to understand the self-assembly of a light levitating droplet cluster by referring to the classical densest packing problem of identical rigid circles in a larger circle with the introduction of the minimum total potential energy principle. Amazingly, the theoretical results obtained by this new approach agree well with experimental results, even though the quantity of the light levitating droplet is up to 142. This study deepens our understanding of the quantity-dependent self-assembly pattern of the light levitating droplet clusters and provides significant inspiration for other analogous self-assembly phenomena.
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http://dx.doi.org/10.1021/acs.jpca.4c06443 | DOI Listing |
Transl Pediatr
December 2024
Division of Cardiac Surgery, Department of Surgery, Dentistry, Pediatrics and Gynecology, Verona, Italy.
Background: Fulminant myocarditis (FM) is a potentially lethal disease with a wide spectrum of clinical presentation, thus making the diagnosis hard to depict. In cases where acute circulatory failure occurs venoarterial (VA) extracorporeal membrane oxygenation (ECMO) support is a valid management strategy, especially in the pediatric and adult patients. This study aims to report the results of VA ECMO for FM in our Institution.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Ulm University, Institute for Complex Quantum Systems and Center for Integrated Quantum Science and Technology, Albert-Einstein-Allee 11, 89069 Ulm, Germany.
Nanophotonics
July 2024
University of Southampton, Southampton, UK.
Optically levitated multiple nanoparticles have emerged as a platform for studying complex fundamental physics such as non-equilibrium phenomena, quantum entanglement, and light-matter interaction, which could be applied for sensing weak forces and torques with high sensitivity and accuracy. An optical trapping landscape of increased complexity is needed to engineer the interaction between levitated particles beyond the single harmonic trap. However, existing platforms based on spatial light modulators for studying interactions between levitated particles suffered from low efficiency, instability at focal points, the complexity of optical systems, and the scalability for sensing applications.
View Article and Find Full Text PDFRev Sci Instrum
November 2024
Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA.
As new alloys are being developed for additive manufacturing (AM) applications, questions related to the temperature-dependent structural and compositional stability of these alloys remain. In this work, the benefits and limitations of a unique method for testing this stability are presented. This system employs the use of polychromatic synchrotron light to perform energy-dispersive x-ray diffraction (ED-XRD) on an electrostatically levitated sample at high temperatures.
View Article and Find Full Text PDFJ Phys Chem A
October 2024
X-BIO Institute, University of Tyumen, Tyumen 625003, Russia.
It has been reported that the self-assembly pattern of light levitating droplet clusters above the hot gas-liquid interface is dependent on the quantity of droplets. However, the already-reported theoretical explanation of the quantity-dependent self-assembly pattern cannot work well when the quantity of the light levitating droplet exceeds 15. Herein, we propose a new theoretical perspective to understand the self-assembly of a light levitating droplet cluster by referring to the classical densest packing problem of identical rigid circles in a larger circle with the introduction of the minimum total potential energy principle.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!