Results 151 to 160 of about 4,353,527 (290)

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

On the Neighbourhood Polynomial

open access: yes, 2017
The neighbourhood polynomial of a graph is the generating function for the neighbourhood complex, which contains all subsets of vertices which have a common neighbour. We begin with some formulas for computing the neighbourhood polynomial. We then show a
Day, Dylan
core  

A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and optimized horseshoe geometry, this design establishes an optimal feedback mechanism for flexible hand exoskeletons while eliminating wiring clutter.
Huawei Zheng   +3 more
wiley   +1 more source

Dynamic Behavioral Profiling for User Authentication Using Binary Pressure Sequences and Grip Patterns via a Soft Stacking Ensemble

open access: yesAdvanced Intelligent Systems, EarlyView.
A smartphone‐embedded fabric‐strip sensing interface captures side‐pressure sequences and grip‐position patterns for behavioral authentication. Probability‐based soft stacking integrates class‐wise predictive probabilities from multiple learners to improve verification‐style discrimination, supporting a sensor‐integrated mobile‐security framework that ...
Wonki Hong
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

open access: yesAdvanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

open access: yesAdvanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit   +8 more
wiley   +1 more source

Autonomous Charging and Battery Swapping for Unmanned Aerial Vehicles: A Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review evaluates major autonomous charging and battery swapping methods for unmanned aerial vehicles (UAVs) against a single question: how close each is to sustained unattended operation. Rather than ranking them by charging performance, it identifies the limitation that most restricts each method, and briefly outlines the supporting technologies ...
Zelin Wu   +5 more
wiley   +1 more source

Physical Reservoir Computing using a Cellulose Nanofiber Hydrogel for Intelligent Green Electronics

open access: yesAdvanced Intelligent Systems, EarlyView.
Cellulose nanofiber (CNF) hydrogel serves as a biodegradable physical reservoir computer capable of electronic input and output. The CNF–water network enables sustainable green electronics that activate upon contact with liquid water, providing a degradable, robust, and field‐deployable computing element suitable for environmentally compatible device ...
Takeshi Kato   +3 more
wiley   +1 more source

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