Results 161 to 170 of about 699,938 (301)
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu +9 more
wiley +1 more source
A residual‐charge‐induced electric field control (SDREC) strategy enables the fabrication of patterned microstructure arrays with a resolution of 20 µm via the selective deposition of charged droplets. The resulting arrays exhibit reversible writing/erasing, optical encryption, and selective silver electrode formation, offering a versatile route to ...
Yuechen Pei +8 more
wiley +1 more source
Hidden costs to building foundations due to sea level rise in a changing climate. [PDF]
Abdelhafez MA, Ellingwood B, Mahmoud H.
europepmc +1 more source
On the Prudence of Rewarding A While Hoping for B [PDF]
In multiple-task hidden-action models, the (mis-)allocation of effort may play an important role for benefit creation. Signals which capture this benefit and which are used in incentive schemes should thus not only be judged by the noise and the ...
Wendelin Schnedler
core
Ion‐Confinement‐Assisted Erasure Purifies Oxidized MXene for Reuse
An erasure‐purification strategy removes surface‐derived TiO2 from oxidized Ti3C2Tx MXene by ion‐confinement‐induced interfacial conversion to soluble titanates, followed by brief acid washing. The scalable process enables approximately 70% material recovery, restores electrical conductivity, and recovers functional performance, including high ...
Xuefeng Zhang +11 more
wiley +1 more source
Buyer beware: hidden costs in deployment of automated hand hygiene technology
P. Bailey +9 more
doaj +3 more sources
The hidden costs of automation: does robot adoption affect children's mental health? [PDF]
Zou Y, Wang J, Wang L.
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
The hidden costs of screen time: altered brain network efficiency in children with autism spectrum disorder. [PDF]
Xue Y +5 more
europepmc +1 more source
Hidden Costs Associated with Conversion from Peritoneal Dialysis to Hemodialysis. [PDF]
Weinhandl ED, Saffer TL, Aragon M.
europepmc +1 more source

