Results 121 to 130 of about 6,296,119 (292)

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Multi-physics optimization of three-dimensional microvascular polymeric components

This work discusses the computational design of microvascular polymeric materials, which aim at mimicking the behavior found in some living organisms that contain a vascular system.
White, Scott R., Saksena, Rajat, Kozola, Brian D., Aragon, Alejandro M., Geubelle, Philippe H., Christensen, Kenneth T.   +5 more
core   +1 more source

Dirac‐Source Linear X‐Ray Detection Diode

Advanced Functional Materials, EarlyView.
Monolayer graphene imparts near linear current‐voltage behavior to a perovskite X‐ray detection diode, contrasting with conventional diode‐like responses. Exploiting graphene's Dirac dispersion and a Schottky‐like back‐to‐back junction, the device achieves six‐orders‐of‐magnitude dark current suppression while retaining linearity over 200 V, enabling ...
Babar Shabbir, Shoaib Masood, Jialu Li, R. A. W. Ayyubi, Naeimeh Mozaffari, Mosarof Hossain, Nasir Mahmood, Muhammad Nadeem, Jacek J. Jasieniak   +8 more
wiley   +1 more source

2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots

Advanced Functional Materials, EarlyView.
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa, Arielle Berman, Laura Schwendeman, Ferdows Afghah, Seanbiron Johnson, Ritu Raman   +5 more
wiley   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

Advanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon, Jian Ni, Sungmo Park, Yang Xu, Yong Chen   +4 more
wiley   +1 more source

Editorial: Moving boundary problems in multi-physics coupling processes

Frontiers in Physics, 2023
Pei Li, Leilei Chen, Leilei Chen, Elena Atroshchenko   +3 more
doaj   +1 more source

Multi-Physics Coupling Parameter Analysis of TiZrHf Medium Entropy Alloy

Metals
The complex coupling relationships among the thermal, mechanical, and electrical physical parameters of TiZrHf-based medium-entropy alloys represent a key factor restricting their practical applications under complex extreme environments.
Mengzhou Chang, Bo Wang, Chuang Chen, Enling Tang   +3 more
doaj   +1 more source

Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation

, 2011
Modeling of tumor growth has been performed according to various approaches addressing different biocomplexity levels and spatiotemporal scales. Mathematical treatments range from partial differential equation based diffusion models to rule-based ...
May, Christian, Stamatakos, Georgios S, Eleni Kolokotroni, Stamatakos, GS, May, CP, Kolokotroni, Eleni, Büchler, Philippe, Kolokotroni, E, Buchler, P, Christian P. May, Georgios S. Stamatakos, Philippe Büchler, Kolokotroni E, Büchler P, May CP, Stamatakos GS   +15 more
core   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

An Epigenetic Fate Converter Based on Nuclei‐Targeting Lipid Nanoparticles Drives Neuronal Programming of Stem Cells for Spinal Cord Repair

Advanced Functional Materials, EarlyView.
Schematic illustration of LNP‐MPG nuclei‐targeting delivery of HMW‐FGF2 promoting histone acetylation to regulate the fate of DPSCs and treat spinal cord injury. LNPs components include pHMW‐FGF2 plasmid, DSPC, Dlin‐MC3‐DMA, cholesterol, and PEG2000, and are modified with MPG to form HMW‐FGF2@LNP‐MPG (HLM). HLM nuclei‐targets DPSCs to deliver HMW‐FGF2,
Heng Zhou, Qiang Qin, Xiqin Li, Hanyu Ding, Chun Xu, Yan He, Qingsong Ye   +6 more
wiley   +1 more source