
कोशिकीय स्वचालन (सेलुलर ऑटोमेटा) कोशिकाओं के एक ग्रिड से बने असतत मॉडल होते हैं, जहाँ प्रत्येक कोशिका सीमित संख्या में अवस्थाओं में रह सकती है। प्रत्येक कोशिका की अवस्था निश्चित समय अंतराल पर स्थापित नियमों के एक समूह के अनुसार बदलती है, जो आसन्न कोशिकाओं की अवस्थाओं को ध्यान में रखते हैं। नियमों की सरलता के बावजूद, ये प्रणालियाँ जटिल और उभरते हुए पैटर्न और व्यवहार उत्पन्न कर सकती हैं। अंततः, सेलुलर ऑटोमेटा वास्तविक दुनिया की प्रणालियों की एक विस्तृत विविधता का अनुकरण कर सकते हैं, जिसमें द्रव गतिशीलता जैसी भौतिक प्रक्रियाएं, बीमारियों के प्रसार जैसी जैविक घटनाएं और किसी भी प्रकार की आबादी की वृद्धि शामिल हैं।
यह सेलुलर ऑटोमेटा पर अंग्रेजी में प्रकाशित विश्वव्यापी प्रकाशनों और पेटेंटों का हमारा नवीनतम संकलन है, जिसमें कई वैज्ञानिक ऑनलाइन जर्नल शामिल हैं, जिन्हें सेलुलर ऑटोमेटा, सेलुलर ऑटोमेटन, ऑटोमेटा सिद्धांत, सेलुलर स्पेस, टेसलेशन ऑटोमेटा, पुनरावृत्ति सरणी, स्टैनिस्लाव उलम, टेसलेशन संरचना, सेलुलर संरचना, जॉन वॉन न्यूमैन, गेम ऑफ लाइफ, कॉनवे, समरूप संरचना, स्टीफन वोल्फ्राम, ट्यूरिंग-पूर्ण और ऑटोमेटा पर वर्गीकृत और केंद्रित किया गया है।
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
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