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Neueste Veröffentlichungen und Patente zu Zellulären Automaten

Zelluläre Automaten

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Zelluläre Automaten
Cellular automata are versatile tools for simulating complex real-world systems across various scientific and engineering domains.

Zelluläre Automaten sind diskrete Modelle, die aus einem Gitter von Zellen bestehen, wobei jede Zelle eine begrenzte Anzahl von Zuständen einnehmen kann. Der Zustand jeder Zelle ändert sich in bestimmten Zeitintervallen gemäß einer Reihe von festgelegten Regeln, die die Zustände benachbarter Zellen berücksichtigen. Trotz der Einfachheit der Regeln können diese Systeme komplizierte und sich entwickelnde Muster und Verhaltensweisen erzeugen. Letztendlich können zelluläre Automaten eine Vielzahl von realen Systemen simulieren, darunter physikalische Prozesse wie die Dynamik von Flüssigkeiten, biologische Phänomene wie die Ausbreitung von Krankheiten und das Wachstum von Populationen jeglicher Art.

Dies ist unsere neueste Auswahl weltweiter Veröffentlichungen und Patente in englischer Sprache zu Zellularautomaten, zwischen vielen wissenschaftlichen Online-Zeitschriften, klassifiziert und fokussiert auf zelluläre Automaten, zelluläre Automaten, Automatentheorie, zellulärer Raum, Mosaik-Automaten, iterative Anordnung, Stanislaw Ulam, Mosaik-Struktur, zelluläre Struktur, John von Neumann, Spiel des Lebens, Conway, homogene Struktur, Stephen Wolfram, turing-vollständige und Automaten.

Validating the neurite exchange imaging (NEXI) model of gray matter using Monte Carlo simulations in numerical substrates

Published on 2026-10-06 by @MIT

Abstract: AbstractNEXI is a gray matter (GM) microstructural model designed to probe brain tissue microstructure in vivo using diffusion MRI. NEXI describes GM as two exchanging Gaussian compartments—neurites, modeled as randomly oriented, infinitely long sticks, and the extracellular space—allowing the estimation of biophysically interpretable parameters related to neurite microstructure and intercompartmental exchange. While modeling cell processes as sticks and each compartment as Gaussian are comm[...]


Our summary: The study validates the NEXI model for gray matter using Monte Carlo simulations. It evaluates the model s accuracy against realistic microstructural features like neurite beading and somas. Results indicate that somas and permeability significantly bias NEXI estimates, while structural irregularities have a modest impact.

NEXI, Monte Carlo simulations, diffusion MRI, gray matter

Publication

Pocs (periodic open cell structures) based microreactor for glycerol reforming

Patent published on the 2026-09-16 in EP under Ref EP4806548 by LINARES BIODIESEL TECH SL [ES] (Sanchez Palomares Andres [es], Masa Blanco Francisco Javier [es], Gomez Roncero Luis Francisco [es], Laguna Espitia Oscar Hernando [es], Lopez Garcia Ana Belen [es], Dubbelman VizcaÍno Alejandro [es], Cobo Ceacero Carlos Javier [es], Garcia Morales Migue)

Abstract: The present invention discloses the use of microreactor based on periodic open cellular structures (POCS), in which the catalytic system is embedded, for glycerol steam reforming and synthesis gas obtaining.[...]


Our summary: This invention utilizes microreactors with periodic open cellular structures for glycerol steam reforming. The catalytic system is embedded within these microreactors. The process aims to produce synthesis gas efficiently.

microreactor, periodic open cell structures, glycerol reforming, synthesis gas

Patent

Modular mat system

Patent published on the 2026-08-20 in US under Ref US20260241660 by SPARTAN MATT LLC [US] (Delp Caleb [us], Allen Aaron [us], Thelin Justin [us], Schenk Brian [us])

Abstract: [0000] A modular mat system comprises a mat panel having a base portion and an overlay portion joined by a continuous fusion weld extending across a sloped transition surface connecting a first wall rib to a zero-degree horizontal flange surface, without termination at the first wall rib. The zero-degree flange surface maximizes weld cross-section and shear strength of the first wall rib under deflection loading. A second wall rib disposed on the flange outboard of the first wall rib extends thr[...]


Our summary: The modular mat system features a mat panel with a base and overlay portion connected by a continuous fusion weld. It includes a zero-degree flange surface to enhance weld strength and a second wall rib for stress distribution. The core has a cellular structure with varying rib density, and panels connect using overlapping extensions and pins.

modular mat system, fusion weld, shear strength, cellular structure

Patent

Systems and methods for brightfield cell detection

Patent published on the 2026-07-23 in WO under Ref WO2026156302 by ARACELI BIOSCIENCES INC [US] (Ferguson Kevin [us])

Abstract: Methods and systems are provided herein for automatic object detection. In an example, a system includes memory storing instructions and one or more processors configured to execute the instructions to: obtain a brightfield field of view (FOV) image of a sample including a plurality of cells; obtain a reference image of a cellular structure; and identify individual cells of the plurality of cells by performing template matching on the FOV image using the reference image.[...]


Our summary: Systems and methods enable automatic detection of cells using brightfield images. The system processes FOV images and reference images to identify individual cells. Template matching is employed to enhance detection accuracy.

cell detection, brightfield imaging, template matching, automatic object detection

Patent

Reference image generation for cell detection

Patent published on the 2026-07-23 in WO under Ref WO2026156321 by ARACELI BIOSCIENCES INC [US] (Ferguson Kevin [us])

Abstract: Methods and systems are provided herein for generating a reference image of a cellular structure for object detection in an image. In one example approach a method is provided that comprises obtaining a plurality of images of a cellular structure; training a deep neural network based on the plurality of images; generating a reference image via the deep neural network; calculating a Pearson s linear correlation coefficient between each image in the plurality of images and the reference image; ref[...]


Our summary: The method generates a reference image for cellular structure detection. It involves training a deep neural network with multiple images. The reference image is refined using Pearson s correlation coefficients for accuracy.

cell detection, reference image generation, deep neural network, Pearson correlation

Patent

An Improved SAO Used for Global Optimization and Economic Power Load Forecasting

Published on 2026-02-03 by Lang Zhou, Yaochun Shao, HaoXiang Zhou, Yangjian Yang @MDPI

Abstract: Short-term electricity load forecasting has become increasingly challenging due to growing demand volatility, nonlinear load patterns, and the dynamic penetration of renewable energy sources. Conventional forecasting models often suffer from sensitivity to hyperparameter settings and limited capability in capturing long-term temporal dependencies. To address these issues, this paper proposes a hybrid forecasting framework that integrates an Improved Snow Ablation Optimizer (ISAO) with a Dilated [...]


Our summary: The paper presents an Improved Snow Ablation Optimizer (ISAO) integrated with a Dilated BiGRU for short-term electricity load forecasting. ISAO enhances optimization through cooperative mechanisms, adaptive strategies, and improved step sizes. Experiments show significant improvements in predictive accuracy and stability compared to conventional models.

Optimization, Forecasting, Neural Networks, Renewable Energy

Publication

Recent Advances, Hybrid Frameworks, and Pathways to Predictive Control

Published on 2026-01-21 by ?ukasz ?ach @MDPI

Abstract: Metal additive manufacturing (AM) generates complex microstructures through extreme thermal gradients and rapid solidification, critically influencing mechanical performance and industrial qualification. This review synthesizes recent advances in cellular automata (CA) and phase-field (PF) modeling to predict grain-scale microstructure evolution during AM. CA methods provide computational efficiency, enabling large-domain simulations and excelling in texture prediction and multi-layer builds. PF[...]


Our summary: This review discusses advances in cellular automata and phase-field modeling for predicting microstructure evolution in metal additive manufacturing. Hybrid frameworks combine the efficiency of cellular automata with the accuracy of phase-field methods for enhanced predictive capability. Challenges include scalability, calibration protocols, and validation, with emerging solutions focusing on machine learning and digital twin architectures.

Additive Manufacturing, Microstructure Evolution, Hybrid Modeling, Predictive Control

Publication

Microstructure, Processability, and Strength of SiC-Reinforced AlSi9Mg Composite After Laser Surface Remelting and Post-Heat Treatment

Published on 2025-11-19 by Abhishek Ghosh, Esmaeil Pourkhorshid, Paul Rometsch, X.-Grant Chen @MDPI

Abstract: The present study investigated the microstructure, processability, and mechanical strength of an AlSi9Mg-20vol.%SiC composite to assess its processing and mechanical performance during the laser powder bed fusion process. A simple laser surface remelting approach was adopted to simulate laser-based rapid solidification. The results revealed that this composite generally exhibited good laser processability, and the samples with the highest laser energy density and lowest scan speed possessed the [...]


Our summary: The study examines the microstructure, processability, and mechanical strength of an AlSi9Mg-20vol.%SiC composite. Laser surface remelting effectively enhances processability and microstructure, leading to improved mechanical properties. T5 aging treatment optimizes microhardness and strength, outperforming conventional AlSi10Mg alloys.

Microstructure, Processability, Strength, SiC-Reinforced

Publication

Behandelte Themen: Neuromorphes Rechnen, Spiking Neural Network, Leaky-Integrate-and-Fire-Neuron, Memristor, synaptische Plastizität, axonale Verzögerung, Silizium-Neuron, analoges VLSI, Hebbian Learning, Nicht-Von-Neumann-Architekturen, ereignisgesteuerte Informationsverarbeitung, massiv parallele Berechnung, ISO/IEC 30170, IEEE 802154, IEC 61966-2-1, ISO/IEC 24765 und ISO 26262.

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