Product Design, Manufacturing & Innovation Resources

최신 출판물 – 셀룰러 오토마타 관련 특허

Cellular Automata

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> 무료 간행물 검색 도구 < 저자, 주제, 키워드, 날짜 또는 저널별로 검색.

> 무료 특허 검색 도구 < 유럽 ​​특허청의 영문 특허를 참조하십시오.

Cellular automata
세포 자동 장치 이러한 도구들은 다양한 과학 및 공학 분야에 걸쳐 복잡한 실제 시스템을 시뮬레이션하는 데 사용되는 다목적 도구입니다.

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.

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

다룬 주제: 뉴로모픽 컴퓨팅, 스파이킹 신경망, 누설 적분발화 뉴런, 멤리스터, 시냅스 가소성, 축삭 지연, 실리콘 뉴런, 아날로그 VLSI, 헤비안 학습, 비폰 노이만 아키텍처, 이벤트 기반 정보 처리, 대규모 병렬 컴퓨팅, ISO/IEC 30170, IEEE 802154, IEC 61966-2-1, ISO/IEC 24765 및 ISO 26262.

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