Results 201 to 210 of about 41,496 (286)

Two‐Dimensional Materials for Flexible Neuromorphic Devices: Materials, Engineering Strategies, Architectures, and Emerging Applications

Advanced Electronic Materials, EarlyView.
This review explains how atomically thin materials can combine information storage, processing, and mechanical flexibility in neuromorphic devices. It connects material properties and engineering strategies with device architecture, synaptic behavior, and performance under bending.
Junzhe Tang, Letian Dai
wiley   +1 more source

Design and Prototyping a Novel Hybrid Shoulder Exoskeleton. [PDF]

Biomimetics (Basel)
Quarnstrom J, Smith A, Barragan O, Toquothty A, Xiang Y.   +4 more
europepmc   +1 more source

Multifunctional Matrix‐Activated Electrodes Enabling Efficient Proton Transport and Durable Low‐Pt Operation for High‐Temperature Proton Exchange Membrane Fuel Cells

Advanced Energy Materials, EarlyView.
This work introduces a CeHP‐enabled multifunctional matrix‐activated electrode (MME) for high‐temperature PEM fuel cells, forming an electrochemically and mechanically functional matrix within the catalyst layer. The design increases peak power density by 38% and reduces voltage decay by 62% at 240 °C, while using only 40% of the Pt loading of a ...
Gyeongseok Gwak, Sunjin Park, Joonbyum Kim, Hena Lee, Jihyeon Ok, Chae Young Lee, JunHwa Kwon, Jong Geun Seong, Sung Pil Yoon, Suk‐Woo Nam, Hansung Kim, Katie Heeyum Lim, So Young Lee   +12 more
wiley   +1 more source

Morphology and control roles in perturbed standing recovery: a robotic study. [PDF]

Front Robot AI
Jiang Y, Murcia M, Yang J, Seyfarth A, Findeisen R, Sharbafi MA.   +5 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

RTGNet: A Dual-Branch Network Integrating Recurrent Texture and Temporal Dynamics from sEMG for Lower-Limb Joint Angle Prediction. [PDF]

Sensors (Basel)
Hu Z, Xu Q, Su S, Tang Y, Xu Y.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

A unified CPG-based and multi-agent control framework for low-cost quadruped robots. [PDF]

PLoS One
Wu L, Zhang M, Wang W.
europepmc   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source

<i>In vivo</i> knee joint friction after total knee arthroplasty is highly dynamic and phase-dependent. [PDF]

Front Bioeng Biotechnol
Zierke JN, Moewis P, Ehrig RM, Taylor WR, Trepczynski A, Duda GN, Damm P.   +6 more
europepmc   +1 more source