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The development of substrates with a switchable wettability is on a fast pace. The limit of switching frequencies and contact angle differences between substrate states are steadily pushed further. We investigate the behavior of a droplet…

Fluid Dynamics · Physics 2022-04-01 Leon Topp , Moritz Stieneker , Svetlana Gurevich , Andreas Heuer

An enhanced geometric algorithm for automated pore-by-pore contact angle measurement from micro-CT images, is presented that achieves superior accuracy compared to existing methods through robust fluid-fluid and solid-fluid interface…

Computational Engineering, Finance, and Science · Computer Science 2025-07-03 Faisal Aljaberi , Hadi Belhaj , Sajjad Foroughi , Mohammed Al-Kobaisi , Martin Blunt

Spatial statistics is dominated by spatial autocorrelation (SAC) based Kriging and BHM, and spatial local heterogeneity based hotspots and geographical regression methods, appraised as the first and second laws of Geography (Tobler 1970;…

Methodology · Statistics 2024-03-07 Jinfeng Wang , Robert Haining , Tonglin Zhang , Chengdong Xu , Maogui Hu

Soil salinity is a critical factor influencing agricultural productivity and environmental sustainability, requiring precise monitoring tools. This paper focuses on developing a frequency-dependent model to predict soil salinity based on…

High Energy Physics - Experiment · Physics 2025-07-08 Javad Jafaryahya , Rasool Keshavarz , Tarou Kikuchi , Negin Shariati

We constrain the velocity spectral distribution of global-scale solar convective cells at depth using techniques of local helioseismology. We calibrate the sensitivity of helioseismic waves to large-scale convective cells in the interior by…

Solar and Stellar Astrophysics · Physics 2015-05-18 S. M. Hanasoge , T. L. Duvall , M. L. DeRosa

We provide numerical evidence for the existence of a cascade of filament instabilities in the surface quasigeostrophic system for atmospheric and oceanic motions near a horizontal boundary. The cascade involves geometrically shrinking…

Fluid Dynamics · Physics 2015-06-17 R. K. Scott , D. G. Dritschel

Multiscale mixing efficiencies for passive scalar advection are defined in terms of the suppression of variance weighted at various length scales. We consider scalars maintained by temporally steady but spatially inhomogeneous sources,…

Fluid Dynamics · Physics 2007-05-23 Charles R. Doering , Jean-Luc Thiffeault

This study introduces and addresses the critical challenge of traffic load estimation in cell switching within vertical heterogeneous networks. The effectiveness of cell switching is significantly limited by the lack of accurate traffic…

Systems and Control · Electrical Eng. & Systems 2026-01-19 Maryam Salamatmoghadasi , Metin Ozturk , Halim Yanikomeroglu

Africa's green industrialization imperative demands reliable infrastructure for monitoring air quality. We present a satellite-reanalysis PM2.5 fusion system trained on 2,068,901 records from 404 monitoring locations in 29 African countries…

Context. The evolution of massive stars is strongly influenced by internal mixing processes such as semiconvection, convective core overshooting, and rotationally induced mixing. None of these is currently well constrained. Aims. We…

Solar and Stellar Astrophysics · Physics 2019-05-29 Abel Schootemeijer , Norbert Langer , Nathan J. Grin , Chen Wang

Multiple Coulomb Scattering (MCS) is a well known phenomenon occurring when charged particles traverse materials. Measurements of muons traversing low $Z$ materials made in the MuScat experiment showed that theoretical models and simulation…

High Energy Physics - Experiment · Physics 2022-11-23 M. Bogomilov , R. Tsenov , G. Vankova-Kirilova , Y. P. Song , J. Y. Tang , Z. H. Li , R. Bertoni , M. Bonesini , F. Chignoli , R. Mazza , V. Palladino , A. de Bari , D. Orestano , L. Tortora , Y. Kuno , H. Sakamoto , A. Sato , S. Ishimoto , M. Chung , C. K. Sung , F. Filthaut , M. Fedorov , D. Jokovic , D. Maletic , M. Savic , N. Jovancevic , J. Nikolov , M. Vretenar , S. Ramberger , R. Asfandiyarov , A. Blondel , F. Drielsma , Y. Karadzhov , G. Charnley , N. Collomb , K. Dumbell , A. Gallagher , A. Grant , S. Griffiths , T. Hartnett , B. Martlew , A. Moss , A. Muir , I. Mullacrane , A. Oates , P. Owens , G. Stokes , P. Warburton , C. White , D. Adams , V. Bayliss , J. Boehm , T. W. Bradshaw , C. Brown , M. Courthold , J. Govans , M. Hills , J. -B. Lagrange , C. Macwaters , A. Nichols , R. Preece , S. Ricciardi , C. Rogers , T. Stanley , J. Tarrant , M. Tucker , S. Watson , A. Wilson , R. Bayes , J. C. Nugent , F. J. P. Soler , R. Gamet , P. Cooke , V. J. Blackmore , D. Colling , A. Dobbs , P. Dornan , P. Franchini , C. Hunt , P. B. Jurj , A. Kurup , K. Long , J. Martyniak , S. Middleton , J. Pasternak , M. A. Uchida , J. H. Cobb , C. N. Booth , P. Hodgson , J. Langlands , E. Overton , V. Pec , P. J. Smith , S. Wilbur , G. T. Chatzitheodoridis , A. J. Dick , K. Ronald , C. G. Whyte , A. R. Young , S. Boyd , J. R. Greis , T. Lord , C. Pidcott , I. Taylor , M. Ellis , R. B. S. Gardener , P. Kyberd , J. J. Nebrensky , M. Palmer , H. Witte , D. Adey , A. D. Bross , D. Bowring , P. Hanlet , A. Liu , D. Neuffer , M. Popovic , P. Rubinov , A. DeMello , S. Gourlay , A. Lambert , D. Li , T. Luo , S. Prestemon , S. Virostek , B. Freemire , D. M. Kaplan , T. A. Mohayai , D. Rajaram , P. Snopok , Y. Torun , L. M. Cremaldi , D. A. Sanders , D. J. Summers , L. R. Coney , G. G. Hanson , C. Heidt

We explore the stability of the variance and skewness of the cosmic gravitational convergence field, using two different approaches: first we simulate a whole MEGACAM survey (100 sq. degrees). The reconstructed mass map, obtained from a…

Astrophysics · Physics 2007-05-23 A. Thion , Y. Mellier , F. Bernardeau , E. Bertin , T. Erben , L. van Waerbeke

We re-examine the assembly history of field spheroidals as a potentially powerful discriminant of galaxy formation models. Whereas monolithic collapse and hierarchical, merger-driven, models suggest radically different histories for these…

Astrophysics · Physics 2009-11-07 A. J. Benson , R. S. Ellis , F. Menanteau

Predicting the extreme hydrodynamic response of porous and architected lattice materials is a fundamental challenge in high energy density physics, where shock-induced pore collapse, baroclinic vorticity, and anomalous kinetic and…

Convective self-aggregation refers to a phenomenon in which random convection can self-organize into large-scale clusters over an ocean surface with uniform temperature in cloud-resolving models. Previous literature studies convective…

Atmospheric and Oceanic Physics · Physics 2021-10-26 Lin Yao , Da Yang , Zhe-Min Tan

Desiccation cracking in clayey soils occurs when they lose moisture, leading to an increase in their compressibility and hydraulic conductivity and hence significant reduction of soil strength. The prediction of desiccation cracking in…

Geophysics · Physics 2021-06-10 Khoa M. Tran , Ha H. Bui , Giang D. Nguyen

Supercooled liquids and dense colloids exhibit anomalous behaviour known as "spatially heterogeneous dynamics" (SHD), which becomes increasingly pronounced with approach to the glass transition. Recently, SHD has been observed in confined…

Soft Condensed Matter · Physics 2010-12-23 Aaron S. Keys , Adam R. Abate , Sharon C. Glotzer , Douglas J. Durian

Effective water resource management depends on accurate projections of flows in water channels. For projected climate data, use of different General Circulation Models (GCM) simulates contrasting results. This study shows selection of GCM…

Atmospheric and Oceanic Physics · Physics 2026-02-16 Saad Ahmed Jamal , Ammara Nusrat , Muhammad Azmat , Muhammad Osama Nusrat

Accurate, high-resolution projections of the Greenland ice sheet's surface mass balance (SMB) and surface temperature are essential for understanding future sea-level rise, yet current approaches are either computationally demanding or…

Geophysics · Physics 2026-04-15 Nils Bochow , Philipp Hess , Alexander Robinson

Statistical downscaling of global climate models (GCMs) allows researchers to study local climate change effects decades into the future. A wide range of statistical models have been applied to downscaling GCMs but recent advances in…

Machine Learning · Statistics 2017-02-15 Thomas Vandal , Evan Kodra , Auroop R Ganguly