Results 91 to 100 of about 394,763 (294)

Correspondence of NNGP Kernel and the Matern Kernel

open access: yesCoRR
Kernels representing limiting cases of neural network architectures have recently gained popularity. However, the application and performance of these new kernels compared to existing options, such as the Matern kernel, is not well studied. We take a practical approach to explore the neural network Gaussian process (NNGP) kernel and its application to ...
Amanda Muyskens   +3 more
openaire   +2 more sources

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

open access: yesAdvanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang   +14 more
wiley   +1 more source

Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3

open access: yesAdvanced Functional Materials, EarlyView.
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh   +3 more
wiley   +1 more source

On the Kernelization of Global Constraints

open access: yesInternational Joint Conference on Artificial Intelligence, 2017
Kernelization is a powerful concept from parameterized complexity theory that captures (a certain idea of) efficient polynomial-time preprocessing for hard decision problems.
Clément Carbonnel, E. Hébrard
semanticscholar   +1 more source

Kernel extrapolation

open access: yesNeurocomputing, 2006
We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled method to combine many of these kernels and then extrapolate them. Central to our method is a theorem for matrix approximation, and an extension of the representer theorem to ...
S. V. N. Vishwanathan   +3 more
openaire   +4 more sources

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin   +7 more
wiley   +1 more source

A cutset-type kernel possibilistic fuzzy c-means method for robust image segmentation

open access: yesFrontiers in Artificial Intelligence
BackgroundRobust image segmentation remains difficult for lightweight unsupervised clustering when nonlinear class overlap and sparse noise contamination occur together.MethodsThis study proposes and evaluates a cutset-type kernel possibilistic fuzzy c ...
Jintao Wang   +4 more
doaj   +1 more source

Patterned ELR‐Gelatin Hydrogels Enable Rapid Endothelial Monolayer Formation via Bioactive Matrix Chemistry and Surface Topography

open access: yesAdvanced Healthcare Materials, EarlyView.
Micro‐ and nano‐patterned elastin‐like recombinamer (ELR) hydrogels integrate bioactive matrix chemistry with defined surface topography. The combined cues promote rapid endothelial cell capture, alignment, and monolayer formation on soft substrates.
Jagoda Litowczenko   +8 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes

open access: yesAdvanced Materials, EarlyView.
Twisted SrTiO3 bilayers host polar vortices of flexoelectric origin, revealed through combined experiment and theory. By reconstructing polarization from the toroidal moment of strain gradients, the work establishes a 3D chiral state with broken inversion and mirror symmetries.
Isabel Tenreiro   +13 more
wiley   +1 more source

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