
셀룰러 오토마타는 셀들의 격자로 이루어진 이산 모델이며, 각 셀은 제한된 수의 상태만을 가질 수 있습니다. 각 셀의 상태는 인접한 셀들의 상태를 고려한 일련의 규칙에 따라 일정한 시간 간격으로 변화합니다. 규칙은 단순하지만, 이러한 시스템은 복잡하고 예측 불가능한 패턴과 행동을 생성할 수 있습니다. 궁극적으로 셀룰러 오토마타는 유체 역학과 같은 물리적 과정, 질병 확산과 같은 생물학적 현상, 그리고 모든 종류의 인구 증가를 포함하여 광범위한 실제 시스템을 시뮬레이션할 수 있습니다.
본 자료는 셀룰러 오토마타에 관한 전 세계 영어 논문 및 특허를 엄선하여 정리한 최신 목록입니다. 다양한 온라인 과학 저널에 게재된 자료들을 셀룰러 오토마타, 셀룰러 오토마톤, 오토마타 이론, 셀룰러 공간, 테셀레이션 오토마타, 반복 배열, 스타니슬라프 울람, 테셀레이션 구조, 셀룰러 구조, 존 폰 노이만, 생명의 게임, 콘웨이, 동질 구조, 스티븐 울프람, 튜링 완전, 오토마타 등의 키워드로 분류하고 집중적으로 다룹니다.
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