Results 141 to 150 of about 665,590 (295)
Optimized smoothing kernels for SPH
We present a set of new smoothing kernels for smoothed particle hydrodynamics (SPH) that improve the convergence of the method without any additional computational cost. These kernels are generated through a linear combination of other SPH kernels, combined with an optimization strategy to minimize the error in the Gresho-Chan vortex test case.
Wissing, Robert +4 more
openaire +2 more sources
Advanced Science, EarlyView.Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li +8 more
wiley +1 more source
Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic
Advanced Science, EarlyView.Wafer‐scale 3D vertically integrated multi‐valued logic (MVL) circuits are realized by monolithically integrating a Te/IGZO heterojunction FET with an engineered Te pull‐up FET. Heterointerface‐mediated transport and optimized current matching enable stable ternary operation, while vertical stacking reduces circuit footprint and interconnect complexity,
Chang‐Hyeon Kim +5 more
wiley +1 more source
Estimating Mixture of Gaussian Processes by Kernel Smoothing. [PDF]
J Bus Econ Stat, 2014 Huang M, Li R, Wang H, Yao W.
europepmc +1 more source
Atomistic Kinetics of Dislocation‐Mediated Grain Growth in Monolayer MoS2
Advanced Science, EarlyView.Atomic‐resolution in‐situ heating microscopy directly visualizes dislocation‐mediated grain boundary migration and grain growth in monolayer MoS2. Mobile grain boundaries migrate through collective motion of Mo 5|7 dislocations, whereas S 5|7 defects remain largely immobile.
Chang‐Won Choi +11 more
wiley +1 more source
Advanced Science, EarlyView.By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source
Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]
Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
Alberto Muñoz, Javier González
core
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
Advanced Science, EarlyView.This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
NONPARAMETRIC KERNEL ESTIMATION OF MULTIPLE HEDGE RATIOS [PDF]
It is possible for the traditional hedge ratio estimation to produce erroneous guidance to risk managers because of the restrictive assumptions. This study adopts nonparametric locally polynomial kernel estimation to exclude the assumptions. Results from
Kim, MinKyoung, Leuthold, Raymond M.
core
Abstract Representation of Movement Parameters in Basal Ganglia Output
Advanced Science, EarlyView.The basal ganglia output provides a scalable velocity/position signal across behavioral contexts, supporting the idea that these variables are represented in the brain as abstract entities rather than as fixed changes in joint angles or specific sets of body effectors.
Ana Silvia Báez‐Cordero +3 more
wiley +1 more source