Results 81 to 90 of about 2,929 (211)
Investigation of Turing structures formation under the influence of wave instability [PDF]
Компьютерные исследования и моделирование, 2019 A classical for nonlinear dynamics model, Brusselator, is considered, being augmented by addition of a third variable, which plays the role of a fast-diffusing inhibitor.
Maxim Borisovich Kuznetsov
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Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries
Advanced Functional Materials, Volume 36, Issue 41, 21 May 2026.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
Pattern Formation in Non‐Equilibrium Architected Materials
Advanced Materials Technologies, Volume 11, Issue 10, 22 May 2026.This article demonstrates an artificial mechanical system ‐ a robotic metamaterial ‐ as an accessible and versatile platform within which to explore and prescribe the reaction‐diffusion driven pattern formation hitherto associated with comparatively less accessible and versatile non‐equilibrium biological and chemical systems.
Vinod Ramakrishnan, Michael J. Frazier
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Turing Instabilities are Not Enough to Ensure Pattern Formation
Bulletin of Mathematical BiologyAbstractSymmetry-breaking instabilities play an important role in understanding the mechanisms underlying the diversity of patterns observed in nature, such as in Turing’s reaction–diffusion theory, which connects cellular signalling and transport with the development of growth and form.
Krause, AL +4 more
openaire +6 more sources
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
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Spikes for the gierer-meinhardt system with many segments of different diffusivities
, 2008 We rigorously prove results on spiky patterns for the Gierer-Meinhardt system with a large number of jump discontinuities in the diffusion coefficient of the inhibitor.
Winter, M, Tse, W, Wei, J
core
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
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Journal of Geophysical Research: Solid Earth, Volume 131, Issue 5, May 2026.Abstract Melt migration in partially molten rocks is commonly described by porous flow models controlled by the hydro‐mechanical compaction length, which effectively explains melt extraction at mid‐ocean ridges. However, this framework cannot account for the paradoxical accumulation of small melt fractions into rhythmic leucosome–melanosome bands in ...
Qingpei Sun +3 more
wiley +1 more source
Taxis-Driven Pattern Formation in Tri-Trophic Food Chain Model with Omnivory
MathematicsThe spatiotemporal dynamics of a three-component model of a food web are considered. The model describes the interactions between populations of resources, prey, and predators that consume both species.
Evgeniya Giricheva
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DJ4Earth: Differentiable, and Performance‐Portable Earth System Modeling via Program Transformations
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.Abstract Differentiable Earth system models (ESMs) enable powerful applications such as sensitivity analysis, gradient‐based calibration, state estimation, boundary flux inversions, uncertainty quantification, and online machine learning. Reverse‐mode automatic differentiation (AD) efficiently provides gradients for such tasks, yet models have rarely ...
William S. Moses +19 more
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