Results 101 to 110 of about 58,290 (291)
Layered Nanoporous Platforms for SERS Sensing
Here, we present a detailed investigation of the SERS performance of layered nanoporous metals. The controlled deposition of well‐defined, stacked porous layers enabled a systematic analysis of the effects of multimetallic systems in SERS experiments. Numerical models are also used to support the experimental findings.
Yanqiu Zou +18 more
wiley +1 more source
A Survey of Interlayer Interaction Models for Graphene and Other 2D Materials
Van der Waals interactions arising from electronic polarization at atomically close interfaces generate corrugated interlayer energy landscapes that govern normal and tangential tractions. This review presents an overview of quantum, atomistic, analytical, and continuum modeling approaches, highlighting their roles across length scales in capturing ...
Gourav Yadav +2 more
wiley +1 more source
Fast Reliable Ray-tracing of Procedurally Defined Implicit Surfaces Using Revised Affine Arithmetic
Fast and reliable rendering of implicit surfaces is an important area in the field of implicit modelling. Direct rendering, namely ray-tracing, is shown to be a suitable technique for obtaining good-quality visualisations of implicit surfaces. We present
Fryazinov, Oleg +2 more
core
Contour-based surface reconstruction using MPU implicit models [PDF]
Graphical Models, 69(2), 139-157.This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan.
Braude, Ilya +14 more
core +1 more source
Accurate Fruit Phenotype Reconstruction via Geometry-Smooth Neural Implicit Surface
Accurate collection of plant phenotyping is critical to optimising sustainable farming practices in precision agriculture. Traditional phenotyping in controlled laboratory environments, while valuable, falls short in understanding plant growth under real-
Wei Ying +5 more
doaj +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
IMPLICIT BIAS AS SEEN THROUGH A PUBLIC SCOPE: A PILOT STUDY [PDF]
Implicit bias is an unconscious, unintentional bias that escapes societal and individual recognition. Yet, it can be conflated with explicit biases leading to considerable misunderstandings by the greater society of what having an implicit bias means ...
Dinges, Alexandra
core
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
GroPBS: Fast Solver for Implicit Electrostatics of Biomolecules
Knowledge about the electrostatic potential on the surface of biomolecules or biomembranes under physiological conditions is an important step in the attempt to characterize the physico-chemical properties of these molecules and in particular also their ...
Franziska eBertelshofer +4 more
doaj +1 more source
The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin +5 more
wiley +1 more source

