Results 231 to 240 of about 242,425 (301)

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao, Riccardo Tognato, Micaela Natta, Elena Della Bella, Alessandro Cianciosi, Tiziano Serra   +5 more
wiley   +1 more source

Sub-6 GHz acoustic filters using laterally-excited bulk acoustic resonator with scattering vias in double-layer electrodes. [PDF]

Microsyst Nanoeng
Wen Z, Liu W, Zeng M, Liu J, Qu Y, Wang R, Liu Y, Cai Y, Sun C.   +8 more
europepmc   +1 more source

Versatile Standing Wave Generation Between Arbitrarily Oriented Surfaces Using Acoustic Metasurface Deflectors and Retroreflectors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi, Farhood Aghdasi, Ali Zabihi, Amir K. Miri, Chen Shen   +4 more
wiley   +1 more source

Vibrational Stress Analysis and Test Verification of Satellite Honeycomb Sandwich Plate Subjected to Acoustic Excitation. [PDF]

Sensors (Basel)
Zhang L, Shi Y, Chen S, Zhao X, Yu J, Zhang L.   +5 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Analysis of Bonding Defects in Cementing Casing Using Attenuation Characteristic of Circumferential SH Guided Waves. [PDF]

Sensors (Basel)
Gao J, Chen T, Lyu Y, Song G, Peng J, He C.   +5 more
europepmc   +1 more source

Computational Simulation and Experimental Validation of Acoustic Reflectometry in Otitis Media. [PDF]

Sensors (Basel)
Nyberg K, Lindmark M, Werner M, Holmlund P, Lundberg T, Öhberg F.   +5 more
europepmc   +1 more source