Results 71 to 80 of about 138,511 (294)

Dynamic Coupling of Convective Flows and Magnetic Field during Flux Emergence [PDF]

open access: yes, 2011
We simulate the buoyant rise of a magnetic flux rope from the solar convection zone into the corona to better understand the energetic coupling of the solar interior to the corona. The magnetohydrodynamic model addresses the physics of radiative cooling,
Abbett   +35 more
core   +1 more source

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai   +6 more
wiley   +1 more source

Large-scale environmental variables and transition to deep convection in cloud resolving model simulations: A vector representation

open access: yesJournal of Advances in Modeling Earth Systems, 2012
Cloud resolving model simulations and vector analysis are used to develop a quantitative method of assessing regional variations in the relationships between various large-scale environmental variables and the transition to deep convection.
L. Ruby Leung, Samson Hagos
doaj  

Modelling deep convection and its impacts on the tropical tropopause layer [PDF]

open access: yesAtmospheric Chemistry and Physics, 2010
The UK Met Office's Unified Model is used at a climate resolution (N216, ~0.83°×~0.56°, ~60 km) to assess the impact of deep tropical convection on the structure of the tropical tropopause layer (TTL). We focus on the potential for
J. S. Hosking   +3 more
doaj   +1 more source

A Mass-Flux Scheme View of a High-Resolution Simulation of a Transition from Shallow to Deep Cumulus Convection [PDF]

open access: yes, 2006
In this paper, an idealized, high-resolution simulation of a gradually forced transition from shallow, nonprecipitating to deep, precipitating cumulus convection is described; how the cloud and transport statistics evolve as the convection deepens is ...
Bretherton, Christopher S.   +1 more
core   +2 more sources

Tropical variability simulated in ICON-A with a spectral cumulus parameterization [PDF]

open access: yes, 2020
We implemented a spectral cumulus parameterization based on a cloud-resolving model (SC scheme) in the icosahedral nonhydrostatic atmospheric model (ICON-A).
Baba, Y., Giorgetta, M.
core   +2 more sources

Deep Orthogonal Decompositions for Convective Nowcasting

open access: yesCoRR, 2020
Near-term prediction of the structured spatio-temporal processes driving our climate is of profound importance to the safety and well-being of millions, but the prounced nonlinear convection of these processes make a complete mechanistic description even of the short-term dynamics challenging.
openaire   +2 more sources

Magnetothermal‐Triggered Response and Self‐Healing of Recyclable and Reprocessable Nanocomposites for Actuation Systems

open access: yesAdvanced Functional Materials, EarlyView.
Developing recyclable materials for magnetic robotics that combine rapid response and self‐healing properties is challenging. Hence, this study focuses on the integration of magnetothermal nanoparticles into a dynamic sorbitol‐based vitrimer, a recyclable composite capable of remote actuation and self‐healing by magnetic heating.
Maria Weißpflog   +3 more
wiley   +1 more source

Multidimensional hydrodynamic simulations of the hydrogen injection flash

open access: yes, 2011
The injection of hydrogen into the convection shell powered by helium burning during the core helium flash is commonly encountered during the evolution of metal-free and extremely metal-poor low-mass stars.
Bader   +32 more
core   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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