Results 61 to 70 of about 1,594 (169)
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
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
In‐Memory Continuous‐Time SAT Solver Based on Bidirectional 11‐T SRAM Macro
This article reported a continuous‐time (CT) Boolean satisfiability (SAT) problem solver using bidirectional 11T‐SRAM macro. The proposed system operates asynchronously using capacitor‐based gradient integration and maximizes the parallelism for SAT solving by in‐memory computing (IMC).
Dongseok Kwon +3 more
wiley +1 more source
Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi +5 more
wiley +1 more source
A tandem neural network directly solves the multivalued inverse problem of extracting semiconductor parameters from transistor measurements. Trained on only 1000 simulations, the network infers six material parameters (e.g., defect states, carrier concentration, mobility) in under 1 ms, demonstrating a broadly applicable framework for semiconductor ...
Masatoshi Kimura +8 more
wiley +1 more source
Asymmetric Whisker‐Inspired Sensor Pairs for Enhanced Airflow Sensing on Drones
This work incorporates asymmetric cross‐sections into a whisker‐inspired sensor pair to enhance airflow sensing. By comparing signals between two offset asymmetric whiskers, the system improves flow heading estimation and identifies the presence of fan‐generated wind during quadrotor flight.
Teresa A. Kent +3 more
wiley +1 more source
Abstract Firefighters face an array of stressors due to the demands of their occupation, leading to a high prevalence of mental health challenges. Social prescribing represents a novel approach to healthcare that emphasizes a holistic view of health and wellbeing.
Janice Ikeda +2 more
wiley +1 more source
ABSTRACT This study systematically investigates the cavitation characteristics of a novel sleeve‐shaft counterrotating (SSCR) hydrodynamic cavitation reactor using computational fluid dynamics (CFD). Based on the RANS framework combined with the SST k–ω turbulence model and the Zwart–Gerber–Belamri cavitation model, the temporal–spatial evolution of ...
Sitong Guan +7 more
wiley +1 more source
NiFe‐NO3 Layered Double Hydroxide as a Novel Anode for Sodium Ion Batteries
This study demonstrates, for the first time, the effectiveness of using LDH as an anodic material in SIB. The material is stable and show high specific capacity, the reaction mechanism has been thoroughly investigated and comprehensively described and involves a phase change reaction followed by sodium intercalation.
Marco Fortunato +4 more
wiley +1 more source

