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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。.

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

Methods for gene training

Patent published on the 2026-01-08 in WO under Ref WO2026010742 by MENDAGENE LLC [US] (Stanek Edward [us])

Abstract: Specific proteins catalyze specific reactions, transport specific molecules, and form specific cellular structures and changing their presence and relative abundance can be applied, for example to improve human health, animal health, crop health, carbon capture, agricultural productivity and protection, and biologic activity. However, precisely effectuating phenotypic changes and outcomes is expensive and error prone; and precisely changing protein expression in an organism has been challenging [...]


Our summary: Methods for gene training enable precise control over protein expression to improve health and productivity. They address challenges in modifying gene expression by providing a digital approach. This innovation aims to streamline product development in various fields, including agriculture and health.

gene training, protein expression, phenotypic changes, biotechnology

Patent

Selection of Processing Parameters in Laser Powder Bed Fusion for the Production of Iron Cellular Structures

Published on 2025-12-09 by Pedro Nogueira, Joo P. G. Magrinho, Rodolfo L. Batalha, Maria J. Rosa, Ana Cabral, Paulo J. Morais, Luis Reis, Catarina Santos, Maria J. Carmezim, Ricardo Cludio, Augusto Moita de Deus, Maria Beatriz Silva, Maria Ftima Vaz @MDPI

Abstract: Metal additive manufacturing (AM) offers promising advancements in producing implants with complex geometry for biomedical applications, where accuracy and near-net-shape production are essential. Metal AM by laser powder bed fusion (PBF-LB) is a promising route to produce biodegradable iron implants made of complex lattice structures. However, processing windows for pure iron remain poorly defined. This work focuses on optimizing PBF-LB parameters for pure iron using a design of experiments (Do[...]


Our summary: This study optimizes processing parameters for laser powder bed fusion of pure iron to produce complex lattice structures. A design of experiments approach was used to evaluate the effects of various parameters on porosity and dimensional accuracy. The best parameters achieved a low porosity of 0.07% and successfully manufactured rhombitruncated cuboctahedron lattices for biomedical applications.

Laser Powder Bed Fusion, Metal Additive Manufacturing, Biodegradable Implants, Design of Experiments

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

Experimental Study on Sandwich Composites with Carbon Fiber Fabric Skin and 3D-Printed Carbon Fiber-Reinforced Polyamide Core

Published on 2025-11-04 by Sotiria Dimitrellou, Isidoros Iakovidis, Gerasimos Stratos, Dimitrios-Nikolaos Pagonis @MDPI

Abstract: Material extrusion is a widely employed additive manufacturing technique with the functional capability of fabricating solid objects or cellular structures by depositing molten thermoplastic material in successive layers according to the designed path of deposition beads. Carbon fiber sandwich composites are advanced structures, ideal in applications that require high strength and stiffness, and low weight. In the present work, sandwich composites consisting of a carbon fiber-reinforced polyamid[...]


Our summary: This study investigates sandwich composites made of carbon fiber fabric skin and 3D-printed carbon fiber-reinforced polyamide core. Experimental results indicate significant improvements in tensile, flexural, and impact strength compared to unreinforced specimens. The findings highlight the potential of these materials for lightweight and water-resistant applications with enhanced mechanical properties.

sandwich composites, carbon fiber, additive manufacturing, mechanical properties

Publication

A method for the treatment of biosludge

Patent published on the 2025-10-19 in FI under Ref FI20245490 by UPM KYMMENE CORP?[FI] (Sahlberg Teppo?[fi], Smolander Juho?[fi])

Abstract: A method for the treatment of biosludge is disclosed, wherein the biosludge comprises cellular structures. The method may comprise mixing the biosludge with at least an acid to obtain a first mixture; breaking the cellular structures of the biosludge in the first mixture at least partially to obtain a second mixture; and separating a solid phase from the second mixture, thereby obtaining a solid product comprising the solid phase. The method may also comprise adding a solid component to the firs[...]


Our summary: The method involves mixing biosludge with an acid to create a first mixture. Cellular structures are partially broken down to form a second mixture, from which a solid phase is separated. The process may include adding a solid component and results in a solid product and a treatment system.

biosludge treatment, cellular structures, acid mixing, solid separation

Patent

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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