Results 231 to 240 of about 106,747 (303)
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz+4 more
wiley +1 more source
Acoustic Therapy as Mechanical Stimulation of Osteogenesis
José Marcos Alves+2 more
openaire +4 more sources
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong+5 more
wiley +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
Auditory cortex of the rufous horseshoe bat [PDF]
Radtke-Schuller, Susanne, Schuller, Gerd
core
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker+2 more
wiley +1 more source
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
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang+3 more
wiley +1 more source
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