Product Design, Manufacturing & Innovation Resources

최신 출판물 – 셀룰러 오토마타 관련 특허

Cellular Automata

팁: 아래 선택 항목 외에도, 저희가 제공하는 두 개의 전체 데이터베이스를 검색하고 필터링할 수 있습니다.

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

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

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

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.

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

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.

역사적 맥락

1687
1687
1738
1750
1757
1788
1800
1678
1687
1687
1738
1750
1785
1788
1800

(날짜를 알 수 없거나 관련이 없는 경우, 예를 들어 "유체역학"의 경우, 주목할 만한 등장 시기를 대략적으로 추정하여 제공합니다.)

10년차 기념일

고화질 이미지 및 다운로드는 등록된 회원에게만 100% 무료로 제공됩니다.

> 로그인 <