Results 191 to 200 of about 3,561,306 (295)
Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection. [PDF]
Wakili AA +4 more
europepmc +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Observational learning strategies impact the neural correlates of declarative memory formation. [PDF]
Yifrah B, Morris G, Mendelsohn A.
europepmc +1 more source
Regiorandom Polythiophenes for Fully Stretchable Electrochemical Transistors and Logic Circuits
Regiorandom (RRa) polythiophenes, once regarded as unsuitable for electronics, exhibit exceptional switching performance via volumetric electrochemical doping. Optimized RRa‐based organic electrochemical transistors (OECTs) achieve a high on/off ratio (≈104), stable operation under 200% strain, and enable fully stretchable logic gates, demonstrating ...
Dong Hyun Park +6 more
wiley +1 more source
The effect of learning strategies on offloading decisions in response recall. [PDF]
Donet JR, Marshall PH, Serra MJ.
europepmc +1 more source
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
Analogue Play in the Age of AI: A Scoping Review of Non-Digital Games as Active Learning Strategies in Higher Education. [PDF]
Conway E, Smith R.
europepmc +1 more source
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
A comprehensive benchmark of active learning strategies with AutoML for small-sample regression in materials science. [PDF]
Bi J +4 more
europepmc +1 more source
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source

