Results 151 to 160 of about 493,672 (330)
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Determining initial conditions for nonlinear hyperbolic equations with time dimensional reduction and the Carleman contraction [PDF]
Van Trong Dang +2 more
openalex +1 more source
A spatiotemporal plasma–mediated laser processing approach is developed to fabricate ultrahigh–aspect ratio nanochannel arrays and corresponding perovskite nanowire arrays within transparent materials for optoelectronics devices. The laser‐fabricated nanochannels serve as templates for controlled perovskite infiltration and crystallization, enabling ...
Taijin Wang +3 more
wiley +1 more source
Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah +9 more
wiley +1 more source
A Multi-step Nonlinear Dimension-reduction Approach with Applications to Bigdata
R. Krishnan +2 more
openalex +1 more source
Topological van der Waals contacts represent a new class of electrodes for 2D semiconductors, enabling precise control of the Schottky barrier height (SBH) and contact resistance (RC) through interlayer distance and orbital hybridization engineering. In Se‐based transition metal dichalcogenides, these contacts achieve an ultralow SBH of 7 meV, RC of 0.
Soheil Ghods +15 more
wiley +1 more source
Learning Propagators for Sea Surface Height Forecasts Using Koopman Autoencoders
Due to the wide range of processes impacting the sea surface height (SSH) on daily‐to‐interannual timescales, SSH forecasts are hampered by numerous sources of uncertainty.
Andrew E. Brettin +2 more
doaj +1 more source
A charge injection layer is introduced via RIE to decouple the dual functions of the source electrode: lowering contact resistance through doping to enhance charge injection, while SAM modification on the top surface minimizes leakage current. This strategy enables OSBTs to achieve a high on/off ratio with improved stability and performance.
Hye Ryun Sim +6 more
wiley +1 more source
Viscoelasticity‐driven instabilities are harnessed to create tunable, periodic textures in 3D‐printed liquid crystalline polymers. This study illustrates how processing parameters control these spontaneous meso‐scale patterns. These unique structural architectures unlock new possibilities for functional devices, ranging from photonic components to ...
Miaomiao Zou +17 more
wiley +1 more source

