Divergence-Free Wavelet Frames

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The first measurements of the Fourier coefficients (V-n Delta) of the azimuthal distributions of charged hadrons emitted from photon-proton (gamma p) interactions are presented. The data are extracted from 68.8nb(-1) of ultra-peripheral proton-lead (pPb) c ...

We theoretically and experimentally investigate the formation of dissipative coherent structures in Kerr nonlinear optical microresonators, whose spectrum encompasses an integrated dispersion that exceeds the cavity free-spectral range. We are able to acce ...

The first search for ultra-rare K+ decays into the pi(+)e(+)e(-) e(+) e(-) final state is reported, using a dataset collected by the NA62 experiment at CERN in 2017-2018. An upper limit of 1.4x10(-8) at 90% CL is obtained for the branching ratio of the K+ ...

The usual explanation of the efficacy of wavelet-based methods hinges on the sparsity of many real-world objects in the wavelet domain. Yet, standard wavelet-shrinkage techniques for sparse reconstruction are not competitive in practice, one reason being t ...

Intelligent fault diagnosis has been increasingly improved with the evolution of deep learning (DL) approaches. Recently, the emerging graph neural networks (GNNs) have also been introduced in the field of fault diagnosis with the goal to make better use o ...

Deep learning (DL) has been wildly successful in practice, and most of the state-of-the-art machine learning methods are based on neural networks (NNs). Lacking, however, is a rigorous mathematical theory that adequately explains the amazing performance of ...

Prismatic slip in magnesium at temperatures T

A DFT+U-type corrective functional is derived from first principles to enforce the flat plane condition on localized subspaces, thus dispensing with the need for an ad hoc derivation from the Hubbard model. Small, molecular test systems at the dissociated ...

In this manuscript we consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they often fail to accurately describe the learning curves of ...

Finite simplex lattice models are used in different branches of science, e.g., in condensed-matter physics, when studying frustrated magnetic systems and non-Hermitian localization phenomena; or in chemistry, when describing experiments with mixtures. An n ...

A search for the direct production of a pair of T sleptons, the supersymmetric partners of T leptons, is presented. Each T slepton is assumed to decay to a T lepton and the lightest supersymmetric particle (LSP), which is assumed to be stable and to not in ...

Computational chemistry aims to simulate reactions and molecular properties at the atomic scale, advancing the design of novel compounds and materials with economic, environmental, and societal implications. However, the field relies on approximate quantum ...

Divergence-Free Wavelet Frames

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Two-particle azimuthal correlations in γp interactions using pPb collisions at √sNN=8.16 TeV

Dissipative Solitons and Switching Waves in Dispersion-Modulated Kerr Cavities

Search for K+ decays into the π+e+e-e+e- final state

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis

Deep Learning Meets Sparse Regularization

A low-temperature prismatic slip instability in Mg understood using machine learning potentials

DFT plus U-type functional derived to explicitly address the flat plane condition

Error scaling laws for kernel classification under source and capacity conditions

Fully solvable finite simplex lattices with open boundaries in arbitrary dimensions

Search for direct pair production of supersymmetric partners of τ leptons in the final state with two hadronically decaying τ leptons and missing transverse momentum in proton-proton collisions at √s=13 TeV

Advancing Computational Chemistry with Stochastic and Artificial Intelligence Approaches