Results 151 to 160 of about 633,701 (344)
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 +5 more
wiley +1 more source
Memristive Chaotic Circuit for Information Processing Through Time
A chaotic circuit that exploits the nonlinear characteristics of a memristive device is realized in hardware. The circuit response evolves through simple periodic, multiperiod, and chaotic regimes. The circuit also displays fading memory property. Finally, the circuit is used in a reservoir computing architecture to demonstrate nonlinear classification
Manuel Escudero +2 more
wiley +1 more source
Josephson currents in chaotic quantum dots [PDF]
Colin Whisler +2 more
openalex +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Krylov complexity as an order parameter for quantum chaotic-integrable transitions [PDF]
Matteo Baggioli +4 more
openalex +1 more source
Predicting the duration of chaotic transients in excitable media
Marcel Aron +3 more
openalex +1 more source
Design of a Reconfigurable Microfluidic System Enabled by Magnetic Miniature Robots
Magnetic miniature robots are integrated into microfluidic chips to achieve real‐time reconfiguration. By external magnetic actuation, the robots perform sorting, mixing, flow regulation, and bubble removal on demand. This versatile platform eliminates the need for complex on‐chip hardware and enables adaptive control for biological and chemical ...
Yuanhe Chen +3 more
wiley +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Abstract In some communities, schools and housing agencies are innovatively partnering to prevent family homelessness and protect students from the negative outcomes associated with housing hardship. While there is increasing interest in expanding the array of housing solutions via school‐housing partnership, more research is needed to understand the ...
Jessica K. McCabe Johnson +6 more
wiley +1 more source
Efficiency of Monte Carlo sampling in chaotic systems [PDF]
Jorge C. Leitão +2 more
openalex +1 more source

