Results 91 to 100 of about 4,223,517 (258)

Characterisation of phases and deformation temperature for additively manufactured shape memory polymer components fabricated from rubberised acrylonitrile butadiene styrene

Virtual and Physical Prototyping, 2019
Integrating shape memory polymers into additive manufacturing processes enables a form of 4D printing where a printed part can be manipulated into varying geometries upon the application of external stimuli.
Francisco Andrade Chávez, J. Gilberto Siqueiros, Israel A. Carrete, Ignacio L. Delgado, George W. Ritter, David A. Roberson   +5 more
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Shape-memory polymer nanocomposites: Processing, mechanisms, modelling, and applications

Advanced Industrial and Engineering Polymer Research
Shape memory polymer nanocomposites (SMPNCs) are an emerging class of smart materials in which shape memory polymer networks are combined with functional nanoparticles to achieve enhanced actuation performance, accelerated recovery, and multi-modal ...
Alina Vozniak, Loredana Santo, Iurii Vozniak   +2 more
doaj   +1 more source

Dynamically Actuated Reconfigurable Topographical Surface Enables Active Control of Implant‐Associated Infections

Advanced Functional Materials, EarlyView.
A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash, Jihun Lee, J. Scott VanEpps, Sungmin Nam, Jouha Min   +4 more
wiley   +1 more source

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

Magnetic-responsive triple shape memory polymer from bio-based benzoxazine/urethane polymer alloys with iron oxide nanoparticles

Advanced Industrial and Engineering Polymer Research
Novel magnetic-responsive triple shape memory polymers (SMPs) derived from bio-based benzoxazine-urethane (V-fa/PU) polymer alloys containing iron oxide nanoparticles (Fe3O4 NPs) were developed in this work. Shape memory effect and curing behavior of the
Kullanard Ruenpanya, Phattarin Mora, Panagiotis Karagiannidis, Kittipon Bunyanuwat, Sarawut Rimdusit   +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

4D printing of high-performance shape memory polymer with double covalent adaptive networks

Advanced Industrial and Engineering Polymer Research
Achieving 4D printing of shape memory polymers with both high strength and high transition temperature remains challenging due to the inherent incompatibility between the rigid molecular structure required for high strength and the molecular structure ...
Zhangzhang Tang, Gao Deng, Yiyuan Sun, Liming Tao, Chao Wang, Zenghui Yang, Peng Liu, Qihua Wang, Yaoming Zhang, Tingmei Wang   +9 more
doaj   +1 more source

Shape Memory Polymer Composite Actuator: Modeling Approach for Preliminary Design and Validation

Actuators, 2019
The work at hand focuses on the modeling, prototyping, and experimental functionality test of a smart actuator based on shape memory polymer technology.
Salvatore Ameduri, Monica Ciminello, Antonio Concilio, Fabrizio Quadrini, Loredana Santo   +4 more
doaj   +1 more source