Results 151 to 160 of about 236,146 (309)
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios+4 more
wiley +1 more source
Minimally Invasive Bowel Cancer Detection through Vibrating Microrobot‐Induced Elastography
A minimally invasive diagnostic method for bowel cancer detection combines vibrating microrobots and laser speckle contrast imaging to map tissue elasticity. By analyzing vibration‐induced resonance, detailed elasticity maps are produced, clearly differentiating tumors from healthy tissue.
Andrew Bickerdike+3 more
wiley +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
This study presents a soft pneumatic pressure regulation system that uses self‐excited hose oscillations to convert constant pressure (90–150 kPa) into rhythmic output. Simulations and experiments demonstrate tunable oscillation frequencies (5.9–11.1 Hz) through adjustments in pressure, hose length, and jet hole diameter.
Fenglin Han+6 more
wiley +1 more source
Benefits of Open Quantum Systems for Quantum Machine Learning
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio+2 more
wiley +1 more source
Dynamics of multi-modes maximum entangled coherent state over amplitude damping channel
A. El Allati, Y. Hassouni, N. Metwally
openalex +2 more sources
Inspired by the eye movements of humans, a multi‐degree‐of‐freedom (multi‐DOF) miniature piezoelectric actuator with a square‐circular ring structure is proposed. The actuator demonstrates a well‐balanced performance in miniaturization, operational efficiency, actuation precision, and load‐driving capability.
Binbin Zhu, Yan Qing Wang
wiley +1 more source
Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise
Geometric quantum machine learning based on equivariant quantum neural networks (EQNNs) recently appeared as a promising direction in quantum machine learning.
Cenk Tüysüz+5 more
doaj +1 more source
Genuine entanglement under squeezed generalized amplitude damping channels with memory
We study genuine entanglement among three qubits undergoing a noisy process that includes dissipation, squeezing, and decoherence. We obtain a general solution and analyze the asymptotic quantum states. We find that most of these asymptotic states can be genuinely entangled depending upon the parameters of the channel, memory parameter, and the ...
openaire +2 more sources
In this contribution, it is shown that miniaturized nerve stimulation implants can be used in collaborative networks. Inductive links and ultrasound are combined to supply these implants with energy and data; the advantages and disadvantages of each method, as well as safety risks and possibilities for improvement are discussed and the best ...
Benedikt Szabo+5 more
wiley +1 more source