Results 261 to 270 of about 442,631 (299)
Spin‐Split Edge States in Metal‐Supported Graphene Nanoislands Obtained by CVD
Advanced Materials, EarlyView.Combining STM measurements and ab‐initio calculations, we show that zig‐zag edges in graphene nanoislands grown on Ni(111) by CVD retrieve their spin‐polarized edge states after intercalation of a few monolayers of Au. ABSTRACT Spin‐split states localized on zigzag edges have been predicted for different free‐standing graphene nanostructures.
Michele Gastaldo +6 more
wiley +1 more source
Flexoelectrically Induced Polar Topology in Twisted SrTiO3 Membranes
Advanced 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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Applied Mathematics and Computation, 1999
The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Mastrangelo, Michèle +2 more
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The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Mastrangelo, Michèle +2 more
openaire +2 more sources
Cluster non‐Gaussian functional data
Biometrics, 2020AbstractGaussian distributions have been commonly assumed when clustering functional data. When the normality condition fails, biased results will follow. Additional challenges occur as the number of the clusters is often unknown a priori. This paper focuses on clustering non‐Gaussian functional data without the prior information of the number of ...
Qingzhi Zhong, Huazhen Lin, Yi Li
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Weak non-Gaussian approximation
Physical Review E, 1995A superposition of Gaussian functionals is considered as a trial functional for the Bogoliubov inequality. The direct optimization of the Bogoliubov inequality generates a non-Gaussian approximation. This function may be strongly non-Gaussian but the kernel is the same as the usual one, up to a multiplicative constant.
, Vasil'ev, , Dawson
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Genuine Tripartite Non-Gaussian Entanglement
Physical Review Letters, 2023Triple-photon states generated by three-mode spontaneous parametric down-conversion are the paradigm of unconditional non-Gaussian states, essential assets for quantum advantage. How to fully characterize their non-Gaussian entanglement remains however elusive.
Da Zhang +4 more
openaire +3 more sources
Journal of Physics A: Mathematical and General, 1989
Summary: Diffusion in random-layered media is considered. The non-Gaussian diffusion kinetics is constructed for two models of random-layered structures. The transition of diffusion in such media to asymptotic Gaussian behaviour is studied. A new approach to the description of the kinetics of relativistic electron dechannelling in a crystal is proposed
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Summary: Diffusion in random-layered media is considered. The non-Gaussian diffusion kinetics is constructed for two models of random-layered structures. The transition of diffusion in such media to asymptotic Gaussian behaviour is studied. A new approach to the description of the kinetics of relativistic electron dechannelling in a crystal is proposed
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DETECTION OF NON-GAUSSIAN PROCESSES IN NON GAUSSIAN NOISE
1963Abstract : The detection of stochastic processes in noise is considered, under the assumption that neither the signal nor the noise need be Gaussian. The detector structure is found in terms of the semiinvariants of the signal and noise processes. The general detector structure is extremely complicated, but a threshold form may be obtained.
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Partial Non-Gaussian State Space
Biometrika, 1994Summary: We suggest the use of simulation techniques to extend the applicability of the usual Gaussian state space filtering and smoothing techniques to a class of non-Gaussian times series models. This allows a fully Bayesian or maximum likelihood analysis of some interesting models, including outlier models, discrete Markov chain components ...
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