Results 111 to 120 of about 1,007,642 (258)

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

Aligned cross-modal integration and regulatory heterogeneity characterization of single-cell multiomic data with deep contrastive learning

open access: yesGenome Medicine
Background Single-cell multi-omics (scMulti-omics) technologies have revolutionized our understanding of cellular functions and interactions by enabling the simultaneous measurement of diverse cellular modalities.
Yue Cheng   +7 more
doaj   +1 more source

A Neural Network-Based Fault-Tolerant Control Method for Current Sensor Failures in Permanent Magnet Synchronous Motors for Electric Aircraft

open access: yesAerospace
To enhance the reliability of electric propulsion in electric aircraft and address power interruptions caused by current sensor failures, this study proposes a current sensorless fault-tolerant control strategy for permanent magnet synchronous motors ...
Shuli Wang, Zelong Yang, Qingxin Zhang
doaj   +1 more source

Frontier Advances of Emerging High‐Entropy Anodes in Alkali Metal‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Recent advances in microscopic morphology control of high‐entropy anode materials for alkali metal‐ion batteries. Abstract With the growing demand for sustainable energy, portable energy storage systems have become increasingly critical. Among them, the development of rechargeable batteries is primarily driven by breakthroughs in electrode materials ...
Liang Du   +14 more
wiley   +1 more source

Entropy-Based Data Selection for Language Models

open access: yesIEEE Access
Modern language models (LMs) increasingly require two critical resources: computational resources and data resources. Data selection techniques can effectively reduce the amount of training data required for fine-tuning LMs.
Hongming Li, Yang Liu, Chao Huang
doaj   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

open access: yesAdvanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun   +7 more
wiley   +1 more source

Development and validation of machine learning models to predict MDRO colonization or infection on ICU admission by using electronic health record data

open access: yesAntimicrobial Resistance and Infection Control
Background Multidrug-resistant organisms (MDRO) pose a significant threat to public health. Intensive Care Units (ICU), characterized by the extensive use of antimicrobial agents and a high prevalence of bacterial resistance, are hotspots for MDRO ...
Yun Li   +14 more
doaj   +1 more source

Novel Functional Materials via 3D Printing by Vat Photopolymerization

open access: yesAdvanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov   +3 more
wiley   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

open access: yesAdvanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

Design of Unmanned Helicopter Distributed Electric Tail Rotor Controller Based on Improved Active Disturbance Rejection Control

open access: yesIEEE Access
In response to the critical implications of single tail rotor failures in unmanned helicopters, this study proposes a distributed electric tail rotor yaw channel controller that employs Active Disturbance Rejection Control (ADRC) techniques.
Qing-Xin Zhang   +4 more
doaj   +1 more source

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