AI & ML
Immersed Boundary Electrodiffusion in the Wasserstein Gradient Flow Formalism: Global Well-Posedness, Non-Equilibrium Thermodynamics, and Singular Asymptotics
arXiv cs.NA0 views
arXiv:2610.40942v1 Announce Type: cross Abstract: We introduce a unified optimal transport framework for the Immersed Boundary (IB) electrodiffusion active pump model. By representing membrane chemical potential barriers and active pump potentials via smoothed Eulerian kernels ($\Psi_w, \mathcal{H}_w$), we formulate the passive dynamics as an $L^2$-Wasserstein ($W_2$) gradient flow coupled to non-conservative active pushing fields representing ATP-driven $3:2$ $\text{Na}^+/\text{K}^+$ exchangers. We establish global weak existence of solutions to the continuous Poisson--Nernst--Planck--IB system via a split-step Jordan--Kinderlehrer--Otto (JKO) variational scheme, backed by Calder\'on--Zygmund bounds for non-local Poisson drift and $H^3(\mathbb{S}^1)$ interface regularity under Stokes flow. We prove the continuous Rayleighian energy balance and establish exponential $W_2$-stability of Non-Equilibrium Steady States (NESS) under a quantitative Bakry--\'Emery curvature threshold. Furthermore, we analyze the dual singular limits of kernel smoothing width $w \to 0$ and dimensionless Debye length $g = \lambda_D / L \to 0$. We establish the precise asymptotic regime connecting regularized and sharp models, prove the $\Gamma$-convergence of regularized energy functionals, derive distributional interface flux jump conditions, and resolve $O(\lambda_D)$ Debye space-charge boundary layers to confirm bulk electroneutrality.
Source:https://arxiv.org/abs/2610.40942PreviousAccurate structural identification for layered composite structures, through a wave and finite element schemeNextKernel-based Interpolatory Methods for Context Compression of Attention Mechanisms
Related posts
GPT Image 2.6: Turn Precision Edits into Auditable Change Contracts
0dev.to TypeScript
Firefox Keyboard Shortcuts Every Power User Should Know
0dev.to JavaScript
Cursed Text (Zalgo) Explained: How Glitchy Unicode Works
0dev.to WebDev

Manual Vs Automation Testing: A Comparative Analysis
0dev.to DevOps

Filings: Moonshot signed a deal in August to rent 32 China-based Super Micro servers with Nvidia B300, the most powerful AI chip, possibly in breach of US rules (Andy Lin/Bloomberg)
0Techmeme

GeniosAI, which develops AI software for financial analysis and modeling, raised $19.1M across seed and Series A rounds; FactSet led the Series A (Ryan Lawler/Axios)
0Techmeme