Results 211 to 220 of about 174,758 (288)

Isogeometric suitable coupling methods for partitioned multiphysics simulation with application to fluid-structure interaction. [PDF]

Eng Comput
Li JY, Verhelst HM, den Besten H, Möller M.   +3 more
europepmc   +1 more source

Numerical Investigation of a Diffusive SIR Model: Focus on Positivity Preservation

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we consider a system of semilinear partial differential equations (PDEs) representing a spatially extended SIR epidemic model. A brief analytical investigation of the well‐posedness and positivity of the solutions is provided in the appendix, while the main focus is on the numerical treatment of the model.
Rahele Mosleh, Claudia Panico, Messoud Efendiyev   +2 more
wiley   +1 more source

Quantum feedback-enhanced discord in T-shaped plasmonic waveguides with embedded cavity. [PDF]

Sci Rep
Sadeghi H, Mirzaee M, Zarei R.
europepmc   +1 more source

Explicit‐Implicit Material Point Method for Dense Granular Flows With a Novel Regularized µ(I) Model

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT The material point method (MPM) is widely employed to simulate granular flows. Although explicit time integration is favored in most current MPM implementations for its simplicity, it cannot rigorously incorporate the incompressible µ(I)‐rheology, an efficient model ubiquitously adopted in other particle‐based numerical methods. While operator‐
Hang Feng, Zhen‐Yu Yin
wiley   +1 more source

A novel phased-array thermography concept for non-destructive testing. [PDF]

Sci Rep
Martinelli C, Meo M.
europepmc   +1 more source

Life after herbarium digitisation: Physical and digital collections, curation and use

PLANTS, PEOPLE, PLANET, EarlyView.
Societal Impact Statement Collections of dried plant specimens (herbaria) provide an invaluable resource for the study of many areas of scientific interest and conservation globally. Digitisation increases access to specimens and metadata, enabling efficient use across a broad spectrum of research.
Alan James Paton, Gabriel K. Ameka, Alexandre Antonelli, Alex Asase, Russell L. Barrett, Ann Bogaerts, Domingos Cardoso, Mark Carine, Alastair Culham, Syadwina H. Dalimunthe, Nina Davies, Sofie De Smedt, Sebebe Demissew, Rafaela Campostrini Forzza, Quentin Groom, Elspeth M. Haston, Abdulrokhman Kartonegoro, Paul Kersey, Isabel Larridon, Jana Leong‐Škorničková, Lucia G. Lohmann, Jehova Lourenco Jr., Hannah McPherson, Muthama Muasya, Nicky Nicolson, Marcelo Pace, Jack F. Plummer, Hélène Ralimanana, Himmah Rustiami, Hervé Sauquet, Emily B. Sessa, Eric Smets, Alex Sumadijaya, Jordan Teisher, Daniel C. Thomas, Eka F. Tihurua, Janine E. Victor, Sarah T. Wagner, Quiang Wang, Andrew Young   +39 more
wiley   +1 more source

On the Cheeger Inequality in Carnot-Carathéodory Spaces. [PDF]

J Geom Anal
Kluitenberg M.
europepmc   +1 more source

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

Analytical and numerical properties of an extended angiogenesis PDEs model. [PDF]

J Math Biol
De Luca P, Marcellino L.
europepmc   +1 more source

Loss Behavior in Supervised Learning With Entangled States

Advanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl, Johanna Barzen, Marvin Bechtold, Frank Leymann, Lavinia Stiliadou   +4 more
wiley   +1 more source