Results 141 to 150 of about 7,486 (260)

Beyond‐Classical Ferroelectric Metamaterials: 3D‐Printed Planar Lattices With Programmable Electro–Thermo–Mechanical Coupling

Advanced Science, EarlyView.
Planar ferroelectric lattices with rationally‐tailored topology and polarization achieve programmable piezoelectric and pyroelectric properties. Analytical modeling, homogenization, and experiments collectively demonstrate enhanced and tunable longitudinal, transverse, and shear piezoelectric responses, together with substantially improved ...
Jiahao Shi, Kang Ju, Haoyu Chen, Valerie Orsat, Agus P. Sasmito, Ali Ahmadi, Abdolhamid Akbarzadeh   +6 more
wiley   +1 more source

Active-Passive Vibration Control of Cantilever Beam Based on Magnetic Spring with Negative Stiffness and Piezoelectric Actuator. [PDF]

Micromachines (Basel)
Wang M, Jiang Z, Jiang W, Feng X, Ding J, Sun Y, Pu H, Liao S.   +7 more
europepmc   +1 more source

The Potential of Self‐Maintainable Living Materials

Advanced Science, EarlyView.
Self‐maintainable living materials are presented as the next generation of bioadaptive systems, integrating continuous sensing, decision‐making, response, self‐repair, and adaptation in a closed‐loop framework. This review highlights the design principles and emerging technologies that enable autonomous, long‐term functionality for future regenerative ...
Mohammadsadegh Nadimifar, Tatiane Eufrásio‐da‐Silva, Lidia Maeso, Gorka Orive, Alireza Dolatshahi‐Pirouz   +4 more
wiley   +1 more source

Optimizing piezoelectric actuator placement for enhanced vibration control using genetic algorithms. [PDF]

Sci Rep
Wang S, Jin H, Wang Y, Huo J, Liu X.
europepmc   +1 more source

Uniaxial Strain‐Driven Ferroelastic Domain Tuning in LaAlO3${\rm LaAlO}_3$

Advanced Science, EarlyView.
The present work demonstrates based on AFM, μ$\umu$‐Raman spectroscopy, XRD, and first‐principles, that uniaxial strain provides a handle for tuning the ferroelastic domain populations in lanthanum aluminate, driving a continuous and controlled phase transition from a four‐variant rhombohedral crystal system to a two‐variant orthorhombic crystal system
Matthias Roeper, Robin Buschbeck, Jakob Wetzel, Tobias Ritschel, Anna‐Lena Hofmann, Vladyslav Kovtunovych, Mike N. Pionteck, Javier Taboada‐Gutiérrez, Alexey B. Kuzmenko, Martina Basini, Vivek Unikandanunni, Iuliia Kiseleva, Jochen Geck, Susanne C. Kehr, Maximilian Lederer, Simone Sanna, Lukas M. Eng, Samuel D. Seddon   +17 more
wiley   +1 more source

Targeted Mechanogenetics to Modulate Specific Deep Neural Circuits

Advanced Science, EarlyView.
This study introduces mechanogenetics, a nanobubble‐enhanced sonogenetic strategy for selective modulation of feeding‐related neural circuits in the mouse lateral hypothalamus. Mechanogenetic stimulation modulates feeding behavior through glutamatergic projections from the lateral hypothalamus to the ventral tegmental area, highlighting its potential ...
Xuandi Hou, Jianing Jing, Zhuohan Shi, Lei Sun   +3 more
wiley   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

Advanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

Development of a Fast Positioning Platform with a Large Stroke Based on a Piezoelectric Actuator for Precision Machining. [PDF]

Micromachines (Basel)
Hu G, Xin W, Zhang M, Chen G, Man J, Tian Y.   +5 more
europepmc   +1 more source

Neural Network Self-Tuning Control for a Piezoelectric Actuator. [PDF]

Sensors (Basel), 2020
Li W, Zhang C, Gao W, Gao W, Zhou M.
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source