Results 61 to 70 of about 148,119 (340)

Symmetry-breaking instabilities of convection in squares [PDF]

open access: yes, 1996
Convection in an infinite fluid layer is often modelled by considering a finite box with periodic boundary conditions in the two horizontal directions. The translational invariance of the problem implies that any solution can be translated horizontally ...
Rucklidge, A.M.
core   +2 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Calcium Imparts Advanced Functionalities to Silk Hydrogels for Biofabrication and Biomedical Innovation

open access: yesAdvanced Functional Materials, EarlyView.
The addition of calcium ions to silk fibroin enhances the hydrogel properties and, when combined with visible light crosslinking, enables compatibility with advanced light‐based fabrication techniques. Calcium ions extend the shelf‐life of silk and facilitate the fabrication of multizonal, multilayered constructs for advanced stimuli‐responsive ...
Hien A. Tran   +11 more
wiley   +1 more source

Dynamical Analysis of Fractional-Order Quaternion-Valued Neural Networks with Leakage and Communication Delays

open access: yesFractal and Fractional
This paper investigates the stability and Hopf bifurcation problems of fractional-order quaternion-valued neural networks (FOQVNNs) with leakage delay and communication delay.
Qiankun Wang   +3 more
doaj   +1 more source

The Bifurcation of Two Invariant Closed Curves in a Discrete Model

open access: yesDiscrete Dynamics in Nature and Society, 2018
A discrete population model integrated using the forward Euler method is investigated. The qualitative bifurcation analysis indicates that the model exhibits rich dynamical behaviors including the existence of the equilibrium state, the flip bifurcation,
Yingying Zhang, Yicang Zhou
doaj   +1 more source

Nanoplasmonics Reveal Ionic‐Strength‐Driven Hydration of Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
Localized surface plasmon resonance (LSPR) of gold nanoparticles (AuNPs) is modulated by ionic‐strength‐dependent hydration shell compression. A predictive model connects shell thickness to non‐radiative damping and spectral shifts over seven orders of magnitude.
Yeeun Song   +4 more
wiley   +1 more source

Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn

open access: yesAdvanced Functional Materials, EarlyView.
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed   +7 more
wiley   +1 more source

An inverse problem in bifurcation theory, II [PDF]

open access: yesJournal of the Mathematical Society of Japan, 1994
This note is concerned with a nonlinear boundary value problem for a simple ordinary differential equation. A sufficient condition for the second bifurcating curve to determine a nonlinear term uniquely is obtained.
openaire   +4 more sources

Nonequilibrium dynamics of mixtures of active and passive colloidal particles

open access: yes, 2017
We develop a mesoscopic field theory for the collective nonequilibrium dynamics of multicomponent mixtures of interacting active (i.e., motile) and passive (i.e., nonmotile) colloidal particles with isometric shape in two spatial dimensions.
Bialké J   +12 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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