Results 81 to 90 of about 3,735,343 (253)

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

Influence of Fe on shape memory effect of Ni-Mn-Ga alloy microwire

Cailiao gongcheng
The shape memory effect of alloy microwire with Fe replacing Ga based on Ni-Mn-Ga alloy microwire was analyzed. Ni-Mn-Ga-Fe alloy was prepared by vacuum tungsten arc melting furnace and the parent alloy was prepared by a high vacuum precision melt ...
LIU Yanfen, LI Shuang, LANG Zirui, MA Zixuan, LIU Xiaohua   +4 more
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +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

Finite Element Simulations of Shape Memory Alloy Actuators in Adaptive Structures

, 2003
Shape memory alloys possess an inherent actuation capability that makes them attractive as actuators in adaptive structures, especially in applications in which their large strains, high specific work output and potential for structural integration are ...
Frautschi, Jason Paul
core  

Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors

Advanced Functional Materials, EarlyView.
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang, Mu‐Pai Lee, Jhen‐Dong Tsai, Liang‐Ying Hsieh, Jui‐Yuan Chen, Chun‐Wei Huang, Yen‐Fu Lin, Wen‐Wei Wu   +7 more
wiley   +1 more source

Upcycling Keratin‐Based Textile Waste Into High‐Performance Hybrid Fibers Via Tuning the Interfacial Interactions

Advanced Functional Materials, EarlyView.
Keratin recovered from animal‐hair textile waste is fractionated and blended with cellulose to produce continuously spun hybrid fibers. Selecting the high‐molecular‐weight keratin fraction enables 30 wt.% keratin incorporation while maintaining high strength in dry and wet states.
Mian Zhai, Daniel Van Opdenbosch, Inge Schlapp‐Hackl, Teemu Välisalmi, Markus Linder, Michael Hummel, Wenwen Fang   +6 more
wiley   +1 more source

Graded Metallopolymer Structures with Shape‐Memory Abilities via DLP‐Based 3D‐Printing

Advanced Functional Materials, EarlyView.
This study presents the digital light processing (DLP) based 3D printing of graded metallopolymers featuring shape‐memory abilities. The permanent shape can be recovered in two distinct steps with excellent rates. The obtained graded prints range from simple rod‐like structures to complex hollow materials.
Michael Klein, Michael F. Agyemang, Michael Schmitt, Jürgen Popp, Martin D. Hager, Stefan Zechel, Ulrich S. Schubert   +6 more
wiley   +1 more source

Thermomechanical Characterization and Performance Evaluation of an Fe-Based Shape Memory Alloy for Coupling Applications [PDF]

This study investigates the thermomechanical behavior and performance of a Fe-based shape memory alloy (Fe-SMA) for coupling applications. The alloy, composed of Fe–17Mn–5Si–10Cr–4Ni–1(V,C) (wt.%), was manufactured via induction melting followed by hot ...
Mohri, Maryam, Jafarabadi, Ali, Leinenbach, Christian, Czaderski, Christoph, Czaderski, Christoph (author), Leinenbach, Christian (author), Jafarabadi, Ali (author), Mohri, Maryam (author)   +7 more
core   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source