Results 81 to 90 of about 806,396 (338)
Advanced Functional Materials, EarlyView.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Kernel Methods for Nonlinear Connectivity Detection [PDF]
Entropy, 2019 In this paper, we show that the presence of nonlinear coupling between time series may be detected using kernel feature space F representations while dispensing with the need to go back to solve the pre-image problem to gauge model adequacy. This is done by showing that the kernelized auto/cross sequences in F can be computed from the model rather than
Lucas Massaroppe, Luiz A. Baccalá
openaire +6 more sources
Three-Dimensional Smoothed Particle Hydrodynamics Method for Simulating Free Surface Flows [PDF]
, 2013 In this paper, we applied an improved Smoothing Particle Hydrodynamics (SPH) method by using gradient kernel renormalization in three-dimensional cases. The purpose of gradient kernel renormalization is to improve the accuracy of numerical simulation by ...
Naa, Christian Fredy, Prayogo, Rizal Dwi
core +2 more sources
Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Extreme Learning Machine Under Minimum Information Divergence Criterion
IEEE Access, 2020 In recent years, extreme learning machine (ELM) and its improved algorithms have been successfully applied to various classification and regression tasks. In these algorithms, MSE criterion is commonly used to control training error.
Chengtian Song +4 more
doaj +1 more source
A Riemannian-Stein Kernel Method
, 2018 This paper presents a theoretical analysis of numerical integration based on interpolation with a Stein kernel. In particular, the case of integrals with respect to a posterior distribution supported on a general Riemannian manifold is considered and the
Barp, Alessandro +3 more
core
Advanced Functional Materials, EarlyView.Walnut seeds are enclosed in a remarkably strong shell made of sclerenchyma, separated by a pectin‐rich suture tissue. Different cell shapes and chemical composition of this tissue point to an opening mechanism, which is triggered by cyclic humidity changes.
Sebastian J. Antreich +3 more
wiley +1 more source
EURASIP Journal on Advances in Signal Processing, 2005 An appropriate definition and efficient computation of similarity (or distance) measures between two stochastic models are of theoretical and practical interest.
Chen Ling, Man Hong
doaj +1 more source
IEEE Access, 2019 Multiple kernel clustering (MKC) attracts considerable attention due to its competitive performance in unsupervised learning. However, we observe that most of the existing MKC approaches do not sufficiently consider the correlation between different ...
Jingtao Hu +5 more
doaj +1 more source
Nitrogen‐Vacancy Magnetometry of Edge Magnetism in WS2 Flakes
Advanced Functional Materials, EarlyView.Using nitrogen‐vacancy magnetometry, the authors visualize room‐temperature stray magnetic fields localized at the edges of WS2 flakes. Their measurements reveal edge‐specific magnetization consistent with spin canting in antiferromagnetically coupled edge states.
Ilja Fescenko +17 more
wiley +1 more source