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Deep Generative Models (DGMs) have been shown to be powerful tools for generating tabular data, as they have been increasingly able to capture the complex distributions that characterize them. However, to generate realistic synthetic data,…

Machine Learning · Computer Science 2024-02-08 Mihaela Cătălina Stoian , Salijona Dyrmishi , Maxime Cordy , Thomas Lukasiewicz , Eleonora Giunchiglia

We report strong third-harmonic generation (THG) in monolayer graphene grown by chemical vapor deposition (CVD) and transferred to an amorphous silica (glass) substrate; the photon energy is in three-photon resonance with the…

Mesoscale and Nanoscale Physics · Physics 2013-06-12 Sung-Young Hong , Jerry I. Dadap , Nicholas Petrone , Po-Chun Yeh , James Hone , Richard M. Osgood

Rigorous electrodynamical simulations based on the nonlinear Drude model are performed to investigate the influence of strong coupling on high harmonic generation by periodic metal gratings. It is shown that a thin dispersive material with…

Mesoscale and Nanoscale Physics · Physics 2019-08-13 Elena Drobnyh , Ruth Pachter , Maxim Sukharev

Although deep learning (DL) methods are powerful for solving inverse problems, their reliance on high-quality training data is a major hurdle. This is significant in high-dimensional (dynamic/volumetric) magnetic resonance imaging (MRI),…

Image and Video Processing · Electrical Eng. & Systems 2024-05-24 Frederic Wang , Han Qi , Alfredo De Goyeneche , Reinhard Heckel , Michael Lustig , Efrat Shimron

A coupled channels analysis, based on the K-matrix approach, is presented for photo-induced kaon production. It is shown that channel coupling effects are large and should not be ignored. The importance of contact terms in the analysis,…

Nuclear Theory · Physics 2009-11-11 A. Usov , O. Scholten

Let X be a smooth projective variety over a field k. For k separably closed, we prove that the subgroup of unramified classes in the Milnor K-group $K^M_i(k(X))$ of the function field of X is contained in the subgroup of n-divisible…

Algebraic Geometry · Mathematics 2026-05-22 Jean-Louis Colliot-Thélène , Stefan Schreieder

In the large rank limit, for any nonexceptional affine algebra, the graded branching multiplicities known as one-dimensional sums, are conjectured to have a simple relationship with those of type A, which are known as generalized Kostka…

Combinatorics · Mathematics 2007-05-23 Mark Shimozono

We consider inverse dynamical, spectral, quantum and acoustical scattering problems for the Schr\"odinger operator on the half line. The goal of the paper is to establish the connections between different types of inverse data for these…

Analysis of PDEs · Mathematics 2025-05-15 A. S. Mikhaylov , V. S. Mikhaylov

This work presents a fully theoretical and self consistent framework for calculating the third-order nonlinear susceptibility of CdSe/ZnS--MOF composite quantum dots. The approach unifies finite-potential quantum confinement,the Liouville…

Mesoscale and Nanoscale Physics · Physics 2025-11-06 Jingxu Wu , Yifan Yang , Jie Shi , Yuwei Yin , Yifan He , Chenjia Li

We theoretically investigate correlated electron dynamics in high-harmonic generation (HHG), using all-electron \emph{ab initio} simulations for three-dimensional real alkali-metal atoms. The resulting harmonic spectra exhibit a plateau…

Atomic Physics · Physics 2019-04-10 Yang Li , Takeshi Sato , Kenichi L. Ishikawa

High-dimensional k-sample comparison is a common applied problem. We construct a class of easy-to-implement nonparametric distribution-free tests based on new tools and unexplored connections with spectral graph theory. The test is shown to…

Methodology · Statistics 2019-08-12 Subhadeep , Mukhopadhyay , Kaijun Wang

Modern data analytics take advantage of ensemble learning and transfer learning approaches to tackle some of the most relevant issues in data analysis, such as lack of labeled data to use to train the analysis models, sparsity of the…

We calculate high-harmonic generation (HHG) by intense infrared lasers in atoms and molecules with the inclusion of macroscopic propagation of the harmonics in the gas medium. We show that the observed experimental spectra can be accurately…

Highly nonlinear optical phenomena can provide access to properties of electronic systems which are otherwise difficult to access through conventional linear optical spectroscopies. In particular, high harmonic generation (HHG) in…

Optics · Physics 2021-04-28 K. Uchida , V. Pareek , K. Nagai , K. M. Dani , K. Tanaka

Inferring nonlinear features of quantum states is fundamentally important across quantum information science, but remains challenging due to the intrinsic linearity of quantum mechanics. It is widely recognized that quantum memory and…

Quantum Physics · Physics 2025-09-30 Qi Ye , Zhenhuan Liu , Dong-Ling Deng

The physics of complex systems stands to greatly benefit from the qualitative changes in data availability and advances in data-driven computational methods. Many of these systems can be represented by interacting degrees of freedom on…

Statistical Mechanics · Physics 2024-11-27 Doruk Efe Gökmen , Sounak Biswas , Sebastian D. Huber , Zohar Ringel , Felix Flicker , Maciej Koch-Janusz

K-FAC is a successful tractable implementation of Natural Gradient for Deep Learning, which nevertheless suffers from the requirement to compute the inverse of the Kronecker factors (through an eigen-decomposition). This can be very…

Machine Learning · Computer Science 2022-11-28 Constantin Octavian Puiu

We show that information on the weak phase gamma can be extracted from the K* pi and rho K decays. Less hadronic uncertainty is involved when the observables of four of these modes are combined together. We further point out two approximate…

High Energy Physics - Phenomenology · Physics 2007-05-23 Cheng-Wei Chiang

In order to obtain the frequency-dependent photo-absorption in a plasma, both the real and imaginary parts of the AC conductivity are required. The real part can be deduced from the knowledge of the static conductivity (given by the…

Plasma Physics · Physics 2025-06-19 Jean-Christophe Pain , Mikael Tacu

Based on direct integrals, a framework allowing to integrate a parametrised family of reproducing kernels with respect to some measure on the parameter space is developed. By pointwise integration, one obtains again a reproducing kernel…

Functional Analysis · Mathematics 2012-02-21 Thomas Hotz , Fabian J. E. Telschow