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细胞自动机最新出版物和专利

细胞自动机

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细胞自动机
细胞 自动机 是模拟各种科学和工程领域复杂现实世界系统的多功能工具。.

单元自动机是由单元网格组成的离散模型,每个单元可以占据有限的状态。每个单元的状态都会根据一系列既定规则在不同的时间间隔内发生变化,这些规则考虑了相邻单元的状态。尽管规则简单,但这些系统却能产生错综复杂的新兴模式和行为。. 最终,细胞自动机可以模拟现实世界中的各种系统,包括流体动力学等物理过程、疾病传播等生物现象以及各种人口的增长。.

这是我们最新精选的关于蜂窝自动机的全球出版物和专利(英文),这些出版物和专利来自众多科学在线期刊,分类并侧重于蜂窝自动机、蜂窝自动机、自动机理论、蜂窝空间、细分自动机、迭代阵列、Stanislaw Ulam、细分结构、蜂窝结构、John von Neumann、生命游戏、Conway、同质结构、Stephen Wolfram、图灵完备和自动机。.

A method and a compact equipment to increase the calorific value of biogas by microreaction

Patent published on the 2026-06-04 in WO under Ref WO2026114702 by IBERFLUID INSTR SA [ES] (De Los Santos Aparicio Mario [es], Hernando Laguna Oscar [es], Royuela Jurado Oscar [es], Teresa Cotes Palomino (uja) [es], Lopez Garcia (uja) Ana Belen [es], Dubbelman Vizcaino (uja) Alejandro [es], Fernandez Lietor Pablo [es], Lerma Villar Christian [es)

Abstract: The present invention discloses a method and a compact equipment to increase the calorific value of biogas by methanation of CO2 with H2 (Sabatier reaction), relayed on a microreaction system that use geometric periodic open cellular structures (POCS), in which the catalytic system is embedded, to intensify the gas reaction. The compact equipment enables the delocalized biogas producers to benefit the CO2 fraction by increasing the calorific value of gas, avoiding the emission of this gas to atm[...]


Our summary: This invention presents a method and compact equipment to enhance the calorific value of biogas through CO2 methanation. It utilizes a microreaction system with periodic open cellular structures to intensify the reaction. The technology allows decentralized biogas producers to utilize CO2, improving gas quality and reducing emissions.

biogas, methanation, microreaction, catalytic system

Patent

Sound system comprising at least one sound-emitting body

Patent published on the 2026-05-28 in WO under Ref WO2026107535 by LECHLEITNER CARL MARIA INGWAR [AT] (Lechleitner Carl Maria Ingwar [at])

Abstract: The invention relates to a sound system comprising at least one sound-emitting body and a structure-borne sound transducer, which is vibrationally connected to the at least one sound-emitting body. In order to allow improved sound quality while keeping production costs low, at least one sound-emitting body has a cellular structure surrounded by a skin which acts as a sound-emitting surface.[...]


Our summary: The invention describes a sound system with a sound-emitting body and a structure-borne sound transducer. The sound-emitting body features a cellular structure and a skin that serves as the sound-emitting surface. This design aims to enhance sound quality while minimizing production costs.

sound system, sound-emitting body, structure-borne sound transducer, cellular structure

Patent

Automatable task extraction utilizing trace invariants of a screen cross-reference to related applications

Patent published on the 2026-04-15 in EP under Ref EP4726669 by UIPATH INC [US] (Barello Gregory [us], Dannamaneni Prashanth [us], Park Charles [us])

Abstract: [0001] A method is provided. The method is executed by a task mining engine implemented as a computer program. The method includes determining, by the task mining engine via a model, similar values of data available from the screen sequence. Each of the similar values are assigned a different key to provide keys. The method includes generating, by the task mining engine, a data structure linking the keys to screens of the screen sequence that each associated similar value appears thereon. The me[...]


Our summary: The method involves a task mining engine that identifies similar data values from a screen sequence. It generates a data structure linking these values to their respective screens. The engine then identifies trace invariants to determine potential automatable tasks.

task mining, trace invariants, screen sequence, data structure

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

Effect of Cross-Section Designs on Energy Absorption of Mechanical Metamaterials

Published on 2025-09-07 by Xinnian Wang, Sina Rastegarzadeh, Yayue Pan, Jida Huang @MDPI

Abstract: Numerous studies have examined various geometric designs in cellular structures, yet the role of cross-sectional geometry remains underexplored. Cross-sections significantly influence the effective material properties of architected materials, where stress concentrations at junctions can reduce structural strength. This study investigates how different cross-sections affect energy absorption efficiency in both bending- and stretching-dominated cellular structures. Five classes of lattice structu[...]


Our summary: This study investigates the impact of cross-sectional geometry on energy absorption in mechanical metamaterials. Various lattice structures were tested to evaluate their mechanical performance and energy absorption efficiency. Results indicate that optimal cross-sections can significantly enhance yield stress across different structures, providing guidelines for future design.

cross-section design, energy absorption, mechanical metamaterials, cellular structures

Publication

涵盖的主题: 神经形态计算、尖峰神经网络、漏集射神经元、忆阻器、突触可塑性、轴突延迟、硅神经元、模拟 VLSI、希比安学习、非冯-诺依曼体系结构、事件驱动信息处理、大规模并行计算、ISO/IEC 30170、IEEE 802154、IEC 61966-2-1、ISO/IEC 24765 和 ISO 26262。

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