The spatial variation in the wettability of a surface can have a significant effect on the spreading and retraction behavior of an impacting droplet and hence the overall impact dynamics. Although composite surfaces have proven applications, there is a lack of understanding of droplet impact on surfaces with a sudden jump in wettability. Here, we study the behavior of a liquid drop impacting a composite surface having a superhydrophilic (SHL) spot surrounded by a superhydrophobic (SHB) region. We find that the droplet exhibits different regimes: no-splitting, jetting, and splashing, depending upon the spot size (β) and the Weber number (). At a smaller β, the behavior shifts from the stable to jetting regime and then to the splashing regime, with increasing . We find that by increasing the value of β, one can avoid the undesirable splashing and jetting regimes and attain a stable regime even at a higher . Our study reveals that β has a significant influence on the maximum spreading diameter β at a smaller but a negligible effect at a higher . We show that the dominance of capillary energy at a smaller and viscous energy at a higher underpins the phenomena. We employ an energy conservation approach to develop an analytical model to predict β on a composite SHL-SHB surface by considering the total energy of the system before the impact and at the maximum spread position. We find = (/) emerges as a key parameter in the model that accurately predicts the experimentally measured β. Our study reveals the existence of an inertia-viscous dominated regime at a smaller and an inertia-capillary dominated regime at a larger . The outcome of our study may find applications in stable and precise positioning of impacting droplets.
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http://dx.doi.org/10.1021/acs.langmuir.1c02654 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Center for Brain Circuit Therapeutics, Department of Neurology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115.
Deep brain stimulation is an efficacious treatment for dystonia. While the internal pallidum serves as the primary target, recently, stimulation of the subthalamic nucleus (STN) has been investigated. However, optimal targeting within this structure and its surroundings have not been studied in depth.
View Article and Find Full Text PDFCells Dev
January 2025
Tunicate Laboratory, Department of Chemistry, Biology and Marine Science, Faculty of Science, University of the Ryukyus, Okinawa, Japan.
Butterfly wing eyespots are developmentally determined at the early pupal stage, when prospective eyespot focal cells underneath the pupal cuticle focal spot function as eyespot organizers in the pupal wing tissue. Here, we performed light microscopy and transmission electron microscopy (TEM) to describe cellular structures of pupal wing tissue with an eyespot organizer immediately after pupation using the Blue Pansy butterfly Junonia orithya. The pupal forewing dorsal epidermis was a pseudostratified monolayer of vertically elongated epidermal cells.
View Article and Find Full Text PDFPlant Dis
December 2024
Northeast Agricultural University, Harbin, United States;
Vicia amoena is renowned for its high protein content and nutritional value, making it significant in animal production and traditional Chinese medicine production. In July 2023, typical anthracnose symptoms were observed on V. amoena leaves in Suihua City (125°82'E, 46°22'N), Heilongjiang Province, China, affecting approximately 40% of the plants (a total of 200 plants were surveyed).
View Article and Find Full Text PDFHippocampus
January 2025
Department of Psychological & Brain Sciences, Dartmouth College, Hanover, USA.
This article is my recollection of events surrounding the discovery of head direction (HD) cells by Jim Ranck in 1984 and the first journal publications 6 years later. Ranck first described the fundamental properties of HD cells qualitatively in a Society for Neuroscience abstract (1984) and in the proceedings to a conference. Ranck, however, was convinced by Bob Muller, a faculty colleague in the lab, to delay writing up Jim's discovery until they developed a two-spot video tracking system, which would enable proper quantitative analyses.
View Article and Find Full Text PDFPeerJ Comput Sci
February 2024
Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, India.
Background And Objective: One of the illnesses with most significant mortality and morbidity rates worldwide is lung cancer. From CT images, automatic lung tumor segmentation is significantly essential. However, segmentation has several difficulties, such as different sizes, variable shapes, and complex surrounding tissues.
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