Results 171 to 180 of about 14,234 (266)

Active Metamaterials with Tunable Shear Nonreciprocity and Nonlinear Dynamics. [PDF]

Adv Sci (Weinh)
Fang X, Yu M, Yu D, Cheng L.
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Multiscale Analysis of Reinforced Concrete Frames with Embedded Metamaterials Under Progressive Collapse. [PDF]

Materials (Basel)
Long X, Samuneti C, Iyela PM, Kawkabi KW, Ngangura PM, Fan K.   +5 more
europepmc   +1 more source

Cooptimized Sensing and Sole Mechanics Enable Embodied‐Intelligence Design of User‐Specific Smart Footwear

Advanced Intelligent Systems, EarlyView.
An embodied codesign framework for smart footwear is presented, jointly tuning lattice mechanics and sensing for personalized plantar pressure monitoring. By integrating pneumatic sensing within 3D‐printed lattice soles, the system achieves accurate real‐time centre‐of‐pressure tracking with reduced sensor count and energy demand, demonstrating how ...
Fengyu Zhong, Marco Pontin, Amy Zavatsky, Perla Maiolino   +3 more
wiley   +1 more source

A Comparative Sound Intensity Method for Measuring the Increase in Sound Insulation of Small Acoustic Metamaterial Samples. [PDF]

Sensors (Basel)
Agata P, Katarzyna BM, Bartłomiej Z, Mirosława LM, Dorota M, Katarzyna D.   +5 more
europepmc   +1 more source

A NEAT Approach to Evolving Neural‐Network‐Based Optimization of Chiral Photonic Metasurfaces: Application of a NeuroEvolution‐of‐Augmenting‐Topologies Pipeline

Advanced Intelligent Systems, EarlyView.
Neuro‐evolution can boost machine‐learning optimization of chiral metasurfaces. By integrating the NEAT algorithm into a deep‐learning framework, we enable the efficient design of visible‐spectrum chiroptical responses. NEAT autonomously evolves neural‐network architectures and weights, reducing manual tuning.
Davide Filippozzi, Arash Rahimi‐Iman
wiley   +1 more source

Graded phononic metamaterials based on scalable microfabrication and design. [PDF]

Nat Commun
Dorn C, Kannan V, Drechsler U, Kochmann DM.   +3 more
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Harnessing blood clot as a native scaffold for orchestrating tissue repairs and regeneration

BMEMat, EarlyView.
The blood clot, owing to its dynamic composition and unique microenvironment, holds significant yet underappreciated potential for tissue engineering. This review systematically summarizes the pathophysiology of clot formation, the key regulatory factors shaping its microenvironment, and its applications in both pre‐clinical and clinical settings ...
Gao‐peng Dang, Yu‐zhu Wang, Yi‐fei Wang, Que Bai, Jia‐xin Hao, Zhi‐ting Li, Xiao‐qing Cao, Yu Wei, Yue Feng, Ji‐hua Chen, Franklin R. Tay, Rui‐bing Wang, Jun‐ting Gu, Li‐na Niu   +13 more
wiley   +1 more source

Ultrathin S-Band Multifunctional Metamaterial with Broadband Microwave Absorption and Hydrophobic Characteristics. [PDF]

Nanomaterials (Basel)
Jin H, Pang H, Guan R, Yin S, An W, Wang C.   +5 more
europepmc   +1 more source