主题图谱 / scalability

scalability

GeneTech 知识引擎共收录 366 篇相关科研实体，横跨 25 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

相关主题

代表性文献（按质量分排序，前 60 条）

• “DIVE” into hydrogen storage materials discovery with AI agents
  2026 · AI Agent 生态 · Despite the surge of AI in energy materials research, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage. Here…
• LLM-enabled multi-agent framework for natural language interaction with graph-based digital twins
  2026 · AI Agent 生态 · Digital twins are increasingly used in the Architecture, Engineering, and Construction (AEC) industry, but their adoption is often hindered by the need for specialised knowledge, such as database querying. This paper pre…
• An AI‐Powered, All‐Printed, Scalable, Stretchable Triboelectric E‐Skin for Multifunctional Perception in Dexterous Hand
  2026 · AI 安全与对齐 · ABSTRACT Achieving human‐like dexterity in robotic hands requires electronic skins (E‐skins) that seamlessly integrate multifunctional sensing, decision‐making, and interactive control. However, existing E‐skins for dext…
• Synergizing blockchain and AI to fortify IoT security: a comprehensive review
  2026 · AI 安全与对齐 · Abstract The relentless growth of connected devices is transforming industrial, urban and domestic environments, yet it also expands the attack surface for distributed denial of service (DDoS), unauthorized access and da…
• A Life Cycle AI-Assisted Model for Optimizing Sustainable Material Selection
  2026 · AI 安全与对齐 · This research has successfully addressed the challenges attributed with SMS, including the fragmented data, heavy reliance on experience, and lack of life cycle integration. This study presents the development and valida…
• Expanding and Enhancing Neural Network-Based QM-AI Models for the Accurate Prediction of Halogen-π Interaction Energies in Protein Contexts
  2026 · AI 安全与对齐 · High Resolution Image Download MS PowerPoint Slide In this study, we extend a previously introduced QM-AI strategy for predicting halogen···π interaction energies from a single aromatic model (representing phenylalanine)…
• Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications
  2026 · AI 安全与对齐 · Modern engineering systems require reliable and timely Fault Detection and Diagnosis (FDD) to ensure operational safety and resilience. Traditional model-based and rule-based approaches, although interpretable, exhibit l…
• Machine Learning-Guided Synthetic Microbial Communities Enable Functional and Sustainable Degradation of Persistent Environmental Pollutants
  2026 · 地外矿物 · Abstract Persistent environmental pollutants demand the use of diverse microbial metabolic capabilities for effective degradation. While naturally occurring consortia or single strains often fall short in efficiency, syn…
• Responsive liquid metal materials towards unstructured environment
  2026 · 地外矿物 · Abstract Real‐world environments are dynamic, variable, and often unpredictable, where temperature, pressure, and chemical composition fluctuate beyond designed limits. Such complexity challenges materials to maintain re…
• Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration
  2026 · 仿生智能 · The development of non-invasive brain-computer interfaces (BCIs) relies on multidisciplinary integration across neuroscience, artificial intelligence, flexible electronics, and systems engineering. Recent advances in dee…
• A Microflow and Bioinspired Dendritic Topology Optimization for CO 2 Capture, Utilization and Storage Hubs in China: Integrating Microfluid Dynamics with Macro-Scale Infrastructure Design
  2026 · 碳中和与 CCUS · High Resolution Image Download MS PowerPoint Slide Large-scale carbon capture, utilization, and storage (CCUS) is pivotal for global net-zero transitions, yet its deployment is constrained by suboptimal pipeline network …
• CO<sub>2</sub> Electroreduction to Formate: Advancing toward Scalable Technologies.
  2026 · 碳中和与 CCUS · High Resolution Image Download MS PowerPoint Slide Scaling up CO 2 electroreduction to formate requires optimizing electrode design and reactor configuration. Gas diffusion electrodes and membrane electrode assemblies en…
• Technological Pathways to Low-Carbon Supply Chains: Evaluating the Decarbonization Impact of AI and Robotics
  2026 · 碳中和与 CCUS · Background: Achieving deep decarbonization in global supply chains is essential for advancing net-zero objectives; however, the integrative role of artificial intelligence (AI) and robotics in this transition remains ins…
• Optimization of Multimodal Transportation Routes for North-to-South Grain Transportation in China Considering Carbon Emissions
  2026 · 碳中和与 CCUS · This study presents a multi-objective optimization framework for China’s North-to-South Grain Transportation (NSGT), balancing costs, time, carbon emissions, and grain quality loss to promote sustainable logistics. We pr…
• Gazer 3d: a Robust, Data Driven, Digital Twin and Immersive Visualisation Platform
  2026 · 数字孪生 · Gazer 3D platform characterizes a leading edge, data-driven, immersive visualization, and digital twin technology revolutionizing the modern industrial sectors. Integrating seamless IoT data, streamlined data management,…
• An Anomaly‐Enhanced Digital Twin (AEDT) Model for Intelligent Inspection and Management of Civil Infrastructure
  2026 · 数字孪生 · The increasing frequency of extreme climate events poses significant risks to slope infrastructure, while traditional inspection methods are often inefficient and unsafe. Although unmanned aerial vehicles (UAVs) combined…
• A conceptual architecture for AI-assisted Digital Twins in natural resource management
  2026 · 数字孪生 · The management of natural resources is increasingly critical and challenging due to complex interactions among environmental, industrial, and societal processes. Traditional approaches often fail to integrate heterogeneo…
• A Framework for a Digital Twin of Inspection Robots
  2026 · 数字孪生 · The study addresses the design and implementation of a modular, scalable platform for specialized inspection tasks, highlighting its suitability for future research activities. The work presents a fully validated methodo…
• Optimization of cold plates with asymmetric heat sources via a diffusion-model-driven digital twin
  2026 · 数字孪生 · Abstract The geometric design of liquid-cooled cold plates critically determines their thermal-hydraulic performance, influencing the efficiency and reliability of high-power electronic systems. This study presents a con…
• Principles for Applying AI to Address the Challenges of Scaling Digital Twins
  2026 · 数字孪生 · ABSTRACT Despite the increasing affordability of data processing and storage and the enhancement of artificial intelligence (AI) and digital technologies in recent years, scalability and adoption continue to be a challen…
• A hybrid self-evolving edge-AI framework for scalable digital process twins in enterprise systems
  2026 · 数字孪生 · Edge-centric digital process twins struggle with slow adaptation and real-time compliance. We propose a self-evolving Edge-AI architecture with five components. The Hierarchical Neuro-Symbolic Verification Graph integrat…
• Developing Digital Twins with SPADE for Autonomous Traffic Control
  2026 · 数字孪生 · In this paper, we introduce SPADE, a framework engineered for building Digital Twins through Multi-Agent Systems. The architecture is inherently scalable and distributed, aligning perfectly with the demands of modern Dig…
• A knowledge graph framework for digital twins of chemical processes
  2026 · 数字孪生 · A digital twin, which virtually replicates a real system and fuses data, models and domain knowledge, is a key technology for accelerating chemical process development and addressing sustainability challenges. Despite it…
• Agentic LLMs for Scalable, Verifiable System Health Digital Twins
  2026 · 数字孪生 · System Health Management (SHM) digital twins have evolved from specialized engineering tools into enterprise-wide critical systems supporting diagnostics and lifecycle decision support, yet scaling the creation, validati…
• Sustainable Automation of Monitoring and Production Accounting in Greenhouse Complexes Using Integrated AI, Robotics, and Data Systems
  2026 · 数字孪生 · Production greenhouse complexes increasingly require automation and digitalization to address rising labor costs, improve productivity, and support sustainable resource use. However, most existing solutions target isolat…
• Digital Twin Vision for Rail Health Monitoring for Freight Railroads
  2026 · 数字孪生 · This paper presents a vision and case study for a framework to implement the digital twin (DT) concept to support rail health monitoring and management in North American freight railroads. The DT system includes a DT of …
• From Digital Twins to Immersive Manufacturing: XR and Gesture‐Based Control for Enhancing Human–Robot Collaboration
  2026 · 数字孪生 · ABSTRACT Digital twins (DTs) and immersive extended reality (XR) interfaces offer new opportunities for intuitive, human‐centred interaction in smart manufacturing. However, implementations often lack rigorous validation…
• AI-Driven Virtual Power Plants: A Comprehensive Review
  2026 · 数字孪生 · The rapid proliferation of distributed energy resources (DERs), including photovoltaics, wind power, battery energy storage, and electric vehicles, has transformed traditional power systems into highly decentralized and …
• Methodology of Multisensory Data Integration for Creating a Digital Twin of Destroyed Objects
  2026 · 数字孪生 · Abstract This study presents a methodology for multisensory data integration combining terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry to create highly accurate digital twins of destroye…
• A Four Layer Cybersecurity Framework for Digital Twin Systems in the Food Industry
  2026 · 数字孪生 · This paper demonstrates an innovative four-layer cybersecurity framework specifically developed for digital twin environments in the food industry. The suggested architecture integrates machine learning-based real-time a…
• A Multi-Simulation Bridge for IoT Digital Twins
  2026 · 数字孪生 · The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms to support system design, validation, an…
• 2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing
  2026 · 数字孪生 · The evolution of artificial intelligence (AI) and machine learning (ML) is reshaping smart manufacturing by providing new capabilities for efficiency, adaptability, and autonomy across industrial value chains. However, t…
• Advances in Materials and Manufacturing for Scalable and Decentralized Green Hydrogen Production Systems
  2026 · 数字孪生 · The expansion of green hydrogen requires technologies that are both manufacturable at a GW-to-TW power scale and adaptable for decentralized, renewable-driven energy systems. Recent advances in proton exchange membrane, …
• Implementing an Operational Digital Twin for Optimizing Water Motor Operations in Resource-Constrained Environments
  2026 · 数字孪生 · Small centrifugal pumps critical for rural and peri-urban water supply often lack advanced monitoring. This study develops a low-cost operational Digital Twin (DT) for a 3.7 kW induction motor pump at IIIT-Hyderabad (III…
• Comparative Evaluation of Voxel and Mesh Representations for Digital Defect Detection in Construction-Scale Additive Manufacturing
  2026 · 数字孪生 · Additive manufacturing is increasingly used in construction, yet reliable quality assurance for three-dimensional-printed concrete elements remains a major challenge. Existing digital defect-detection methods, particular…
• Advanced Fault Detection and Diagnosis Exploiting Machine Learning and Artificial Intelligence for Engineering Applications
  2026 · 数字孪生 · Modern engineering systems require reliable and timely Fault Detection and Diagnosis (FDD) to ensure operational safety and resilience. Traditional model-based and rule-based approaches, although interpretable, exhibit l…
• A Review of Federated Large Language Models for Industry 4.0
  2026 · 数字孪生 · Industry 4.0 envisions a highly interconnected, autonomous manufacturing ecosystem enabled by the Industrial Internet of Things, Cyber-Physical Systems, and Artificial Intelligence. The emergence of large language models…
• Bayesian Inference via GeTe x ‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
  2026 · 类脑计算 · ABSTRACT Neuromorphic architectures leveraging stochastic device physics present a transformative approach for implementing probabilistic computing paradigms capable of intrinsic uncertainty quantification. In this work,…
• MedLedgerFL: a hybrid blockchain-federated learning framework for secure remote healthcare services.
  2026 · 隐私计算与数据要素 · The fast growth of telemedicine has made it clear that we need safe, cooperative, and privacy-protecting ways to handle sensitive medical information. Traditional centralised predictive model training methods have proble…
• Experimental memory control in continuous-variable optical quantum reservoir computing.
  2026 · 量子材料 · Forecasting complex processes requires efficient learning from temporal data. Reservoir computing platforms enable such learning with minimal training cost. Quantum reservoir computing (QRC) extends this framework into t…
• Scalable quantum computational science: A perspective from block-encodings and polynomial transformations
  2026 · 量子材料 · Significant developments made in quantum hardware and error correction recently have been driving quantum computing toward practical utility. However, gaps remain between abstract quantum algorithmic development and prac…
• Autoencoder-Based Self-Supervised Anomaly Detection in Wireless Sensor Networks: A Taxonomy-Driven Meta-Synthesis
  2026 · 6G 与卫星互联网 · Wireless Sensor Networks (WSNs) are widely deployed for long-term monitoring in environments characterized by nonstationary sensing dynamics, intermittent connectivity and continuously evolving network topologies, while …
• AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents
  2025 · AI Agent 生态 · In recent years, the interplay between AI agents and blockchain has enabled secure and scalable collaboration among multi-agent systems, promoting unprecedented levels of autonomy and interoperability. AI agents play a v…
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
  2025 · AI Agent 生态 · Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency over prolonged mult…
• LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead
  2025 · AI Agent 生态 · Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human planning and reasoning. This article exp…
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
  2025 · AI Agent 生态 · Agent memory systems that scale overwrite protection by a domain volatility prior V_d treat two different quantities as one number: a slow belief about how often a kind of fact changes, and a fast residual about whether …
• AI-empowered digital twin modeling for high-precision building defect management integrating UAV and GeoBIM
  2025 · AI 安全与对齐 · Abstract Recent advances in artificial intelligence (AI) and cyber-physical systems have fostered innovative approaches to performance assessment and management of existing building stock. This study presents an AI-assis…
• A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring
  2025 · AI 安全与对齐 · Artificial intelligence (AI) and machine learning (ML) have introduced new approaches to medical rehabilitation. These technological advances facilitate the development of large-scale adaptive rehabilitation platforms th…
• Dynamic FPGA reconfiguration for scalable embedded artificial intelligence (AI): A co-design methodology for convolutional neural networks (CNN) acceleration
  2025 · AI 安全与对齐 · In recent years, FPGA platforms have shown significant potential for accelerating artificial intelligence (AI) applications, particularly in Embedded AI. While various studies have explored adaptive AI deployment on FPGA…
• Evaluating ASCERT: generative AI for cyber-range scenario generation
  2025 · AI 安全与对齐 · Abstract In this paper, we worked in collaboration with the ASCERT (AI-based scenario management for cyber-range training) project and its generative AI prototype that generates dynamic and interactive cyber-range exerci…
• A Review of Multi-Sensor Fusion in Autonomous Driving
  2025 · AI 安全与对齐 · Multi-modal sensor fusion has become a cornerstone of robust autonomous driving systems, enabling perception models to integrate complementary cues from cameras, LiDARs, radars, and other modalities. This survey provides…
• A Review of Integrated Carbon Capture and Hydrogen Storage: AI-Driven Optimization for Efficiency and Scalability
  2025 · AI 安全与对齐 · Achieving global net-zero emissions by 2050 demands integrated and scalable strategies that unite decarbonization technologies across sectors. This review provides a forward-looking synthesis of carbon capture and storag…
• The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
  2025 · AI 驱动科学发现 · AI is increasingly playing a pivotal role in transforming how scientific discoveries are made. We introduce The AI Scientist-v2, an end-to-end agentic system capable of producing the first entirely AI generated peer-revi…
• Review of Memristors for In‐Memory Computing and Spiking Neural Networks
  2025 · 生物计算 · The convergence of in‐memory computing (IMC) and neuromorphic architectures offers a promising path toward energy‐efficient, scalable artificial intelligence, particularly for edge and real‐time applications. Memristors,…
• Spectral convolutional neural network chip for in-sensor edge computing of incoherent natural light
  2025 · 生物计算 · Optical neural networks are considered next-generation physical implementations of artificial neural networks, but their capabilities are limited by on-chip integration scale and requirement for coherent light sources. T…
• Conformal prediction for uncertainty quantification in dynamic biological systems
  2025 · 生物计算 · Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. In systems biology, and particularly with dynamic models, UQ is…
• A Systematic Review and Classification of HPC-Related Emerging Computing Technologies
  2025 · 生物计算 · In recent decades, access to powerful computational resources has brought about a major transformation in science, with supercomputers drawing significant attention from academia, industry, and governments. Among these r…
• Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing
  2025 · 生物计算 · Memristive passive crossbar circuits hold great promise for neuromorphic computing, offering high integration density combined with massively parallel operation. However, scaling up the integration complexity of such cir…
• Institutionalizing convergence education for medical artificial intelligence.
  2025 · 医疗人工智能 · As artificial intelligence (AI) becomes increasingly central to modern healthcare, medical education must move beyond passive knowledge transfer and adopt a system-wide approach to convergence training. This narrative re…
• Integration of Functional Materials in Photonic and Optoelectronic Technologies for Advanced Medical Diagnostics
  2025 · 医疗人工智能 · Integrating functional materials with photonic and optoelectronic technologies has revolutionized medical diagnostics, enhancing imaging and sensing capabilities. This review provides a comprehensive overview of recent i…

以 API 获取该主题全量数据

# 主题词表（含本主题的站点分布与年度分布）
curl http://data.swarmlabs.tools/api/topics.json

# 主题共现知识图谱
curl http://data.swarmlabs.tools/api/graph.json

需要按主题批量拉取、导出 BibTeX 或接入 AI Agent？查看 数据下载与格式 或 MCP 接入。