Results 151 to 160 of about 343,323 (246)
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Initial Teacher Training (ITT) training bursary guide: academic year 2014 to 2015 (Version 1) [PDF]
core
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
Reclaiming microbiology: scientists as community members and advocacy leaders. [PDF]
Donovan-Banfield I +5 more
europepmc +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source
Complex soliton wave patterns of Gross-Pitaevskii systems: application in quantum and optical engineering. [PDF]
Bilal M +5 more
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Beyond IQ: Systemic Resources in STEM Achievement. [PDF]
Ziegler A, Bayer S, Stoeger H.
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Chaotic and dynamic vibration analysis of a time-delayed nonlinear mathieu oscillator via non-perturbative approach. [PDF]
Moatimid GM, Amer TS, Mohamed YM.
europepmc +1 more source

