Results 131 to 140 of about 6,725,081 (252)

Determining the Relationship Between Composition, Structure, and Device Properties of GexSe1‐x‐Based Selector‐Only Memory

Advanced Electronic Materials, EarlyView.
Composition‐dependent structural evolution in GeXSe1‐X selector‐only memory (SOM) is correlated with device switching behavior. Increasing Ge strengthens network rigidity, suppresses atomic motion, and stabilizes threshold switching, while narrowing the memory window. The revealed structure–property relationship provides a guideline for compositionally
Tien Anh Nguyen, Changdeok Han, Dipannita Ghosh, Suyong Chae, Moongyu Choi, Sanghyun Ban, Myoungsub Kim, Sangmin Yoo, Seung Hwan Lee, Sieun Chae   +9 more
wiley   +1 more source

Stabilization of Ultrafast Domain Wall Motion by Edge‐Anisotropy Engineering in Ferrimagnetic Nanowires

Advanced Electronic Materials, EarlyView.
Localized laser annealing transforms distorted, edge‐pinned domain‐wall motion in ferrimagnetic Pt/GdFe nanowires into straight, stable, and ultrafast propagation. Experiments and micromagnetic simulations reveal an optimum anisotropy‐engineering window in which moderate edge softening suppresses pinning, whereas excessive anisotropy reduction or ...
Mojtaba Mohammadi, Sina Ranjbar, Yoshinobu Nakatani, Benjamin Lilienthal‐Uhlig, Kenji Tanabe, Hiroyuki Awano   +5 more
wiley   +1 more source

One‐Step Synthesis of Size‐Controlled Copper Oxide Nanoparticles on Laser‐Induced Graphene Sensor for L‐Cysteine Detection

Advanced Electronic Materials, EarlyView.
Oxygen plasma treatment enhances polyimide hydrophilicity and promotes uniform anchoring of copper ion precursors. A one‐step laser process then generates CuO‐decorated nanoparticles on laser‐induced graphene (LIG) electrodes, enabling controlled nanoparticle growth via precursor concentration tuning.
Gustavo Miguel Sousa, Ketley Caroline Rocha Pereira, Deissy Johanna Feria Garnica, Marcos Rocha Diniz da Silva, Matheus Santos Dias, Camila Marchetti Maroneze, Cecilia de Carvalho Castro Silva   +6 more
wiley   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

A method for multi-criteria decision making with probabilistic linguistic term based on cloud TOPSIS

Scientific Reports
Recent literature has explored various approaches to address the stochasticity and ambiguity inherent in concept terms within the Multi-Criteria Decision Making (MCDM) process.
Abdulrahman Almandeel, Congjun Rao, Xiaolong Zhang, Hui Qi   +3 more
doaj   +1 more source

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son, Taejun Ha, Taeyoung Nam, Yoonyoung Chung, Sunmean Kim   +4 more
wiley   +1 more source

A study of existing Ontologies in the IoT-domain [PDF]

, 2017
Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of ThingsSeveral domains have adopted the increasing use of IoT-based devices to collect sensor data for generating abstractions and perceptions of the real world.
Georgantas, Nikolaos, Bajaj, Garvita, Agarwal, Rachit, Singh, Pushpendra, Issarny, Valerie, Agarwal , Rachit   +5 more
core  

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Security Model for IoT Applications - IoTSeMo

The Internet of Things (IoT) is a technology that has become popular because of the ease of use, accessibility and services that can be offered to improve the quality of life of users. However, most of the manufacturers and IoT developers do not consider the risks inherent to this new technology due to, among other factors, their eagerness to market ...
Rafael V. Páez-Méndez, Edgar E. Ruiz García, Jordi Forné   +2 more
openaire   +2 more sources