Results 191 to 200 of about 1,593,883 (356)
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
A flexible freestanding HfO2‐based ferroelectric membrane is achieved via a water‐assisted exfoliation technique using a Sr4Al2O₇ sacrificial layer. The BaTiO3/Hf0.5Zr0.5O2/BaTiO3 heterostructure maintains robust ferroelectricity and exhibits reliable synaptic plasticity.
Han Zhang +13 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Integral representations of unbounded operators by infinitely smooth kernels
Igor M. Novitskii
openalex +2 more sources
iosmooth: Functions for Smoothing with Infinite Order Flat-Top Kernels [PDF]
Timothy L. McMurry, Dimitris N. Politis
openalex +1 more source
Homogenization for nonlocal evolution problems with three different smooth kernels [PDF]
Monia Capanna +3 more
openalex +1 more source
A Janus‐like bio‐inspired strategy is proposed for integrally 3D‐printed bimetallic metamaterials. Inspired by shell bilayers, a heat‐resistant AlSiFeMnNiMg alloy and a SiC‐reinforced AlSi10Mg with different SiC volume fractions are arranged as an architected pair.
Zhicheng Dong +5 more
wiley +1 more source
A particle filtering and kernel smoothing-based approach for new design component prognostics
Yang Hu, P. Baraldi, F. Maio, E. Zio
semanticscholar +1 more source
Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang +15 more
wiley +1 more source

