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A scale-resolving simulation methodology that includes stochastic energy backscatter is incorporated into a proprietary block-structured compressible flow solver. Particular attention is devoted to the discretisation of the convective terms…

Fluid Dynamics · Physics 2025-11-12 Angelo Passariello , Pietro Catalano , Carmine De Lucia , Renato Tognaccini

Corrections to elastic moduli, including the effective shear modulus, of a solid neutron star crust due to electron screening are calculated. At any given mass density, the crust is modelled as a body-centred cubic Coulomb crystal of fully…

Solar and Stellar Astrophysics · Physics 2016-03-23 D. A. Baiko

Microscopic processes on surfaces such as adsorption, desorption, diffusion and reaction of interacting particles can be simulated using kinetic Monte Carlo (kMC) algorithms. Even though kMC methods are accurate, they are computationally…

Mathematical Physics · Physics 2013-12-24 Yannis Pantazis , Markos Katsoulakis

We show that if in the particle beam there are linear correlations between energy of particles and their transverse positions and momenta (linear beam dispersions), then the transverse projected emittances always can be reduced by letting…

Accelerator Physics · Physics 2014-09-23 V. Balandin , W. Decking , N. Golubeva

Thermal neutron total scattering experiments of light and heavy water were reproduced using the CSNS in-house Monte Carlo thermal neutron transport code, Prompt, with a focus on the instrumental detector response and the accurate derivation…

Instrumentation and Detectors · Physics 2026-03-10 Ni Yang , Zi-Yi Pan , Ming Tang , Wen Yin , Xiao-Xiao Cai

The KATRIN experiment aims to determine the effective electron neutrino mass with a sensitivity of $0.2\,{\text{eV}/c^2}$ (90\% C.L.) by precision measurement of the shape of the tritium \textbeta-spectrum in the endpoint region. The energy…

Instrumentation and Detectors · Physics 2018-10-02 KATRIN Collaboration , M. Arenz , W. -J. Baek , S. Bauer , M. Beck , A. Beglarian , J. Behrens , R. Berendes , T. Bergmann , A. Berlev , U. Besserer , K. Blaum , T. Bode , B. Bornschein , L. Bornschein , T. Brunst , W. Buglak , N. Buzinsky , S. Chilingaryan , W. Q. Choi , M. Deffert , P. J. Doe , O. Dragoun , G. Drexlin , S. Dyba , F. Edzards , K. Eitel , E. Ellinger , R. Engel , S. Enomoto , M. Erhard , D. Eversheim , M. Fedkevych , J. A. Formaggio , F. M. Fränkle , G. B. Franklin , F. Friedel , A. Fulst , D. Furse , W. Gil , F. Glück , A. Gonzalez Urena , S. Grohmann , R. Grössle , R. Gumbsheimer , M. Hackenjos , V. Hannen , F. Harms , N. Haußmann , F. Heizmann , K. Helbing , W. Herz , S. Hickford , D. Hilk , M. A. Howe , A. Huber , A. Jansen , J. Kellerer , N. Kernert , L. Kippenbrock , M. Kleesiek , M. Klein , A. Kopmann , M. Korzeczek , A. Kovalík , B. Krasch , M. Kraus , L. Kuckert , T. Lasserre , O. Lebeda , J. Letnev , A. Lokhov , M. Machatschek , A. Marsteller , E. L. Martin , S. Mertens , S. Mirz , B. Monreal , H. Neumann , S. Niemes , A. Off , A. Osipowicz , E. Otten , D. S. Parno , A. Pollithy , A. W. P. Poon , F. Priester , P. C. -O. Ranitzsch , O. Rest , R. G. H. Robertson , F. Roccati , C. Rodenbeck , M. Röllig , C. Röttele , M. Ryšavý , R. Sack , A. Saenz , L. Schimpf , K. Schlösser , M. Schlösser , K. Schönung , M. Schrank , H. Seitz-Moskaliuk , J. Sentkerestiová , V. Sibille , M. Slezák , M. Steidl , N. Steinbrink , M. Sturm , M. Suchopar , H. H. Telle , L. A. Thorne , T. Thümmler , N. Titov , I. Tkachev , N. Trost , K. Valerius , D. Vénos , R. Vianden , A. P. Vizcaya Hernández , N. Wandkowsky , M. Weber , C. Weinheimer , C. Weiss , S. Welte , J. Wendel , J. F. Wilkerson , J. Wolf , S. Wüstling , S. Zadoroghny

We propose a prox-regular-type low-rank constrained nonconvex nonsmooth optimization model for Robust Low-Rank Matrix Recovery (RLRMR), i.e., estimate problem of low-rank matrix from an observed signal corrupted by outliers. For RLRMR, the…

Optimization and Control · Mathematics 2026-02-03 Keita Kume , Isao Yamada

Many applications of high brightness, highly relativistic electron beams carry strict requirements on longitudinal phase space quality. To meet these requirements, accelerator systems typically utilize dispersive elements to manipulate the…

Accelerator Physics · Physics 2022-08-09 Nicholas Sudar , Yuantao Ding

We present the Electronic Tensor Reconstruction Algorithm (ELECTRA) - an equivariant model for predicting electronic charge densities using floating orbitals. Floating orbitals are a long-standing concept in the quantum chemistry community…

Machine Learning · Computer Science 2026-01-27 Jonas Elsborg , Luca Thiede , Alán Aspuru-Guzik , Tejs Vegge , Arghya Bhowmik

This paper shows the effect of scaling silicon accelerometers down from MEMS to NEMS. It models both electronics and Brownian noise sources for both capacitive and resonant devices, and computes the minimum detectable signal attainable.…

Instrumentation and Detectors · Physics 2012-05-23 Sébastien Hentz , Laurent Duraffourg , Eric Colinet

Thin-layer photobioreactors (TLRs) exhibit fast hydrodynamic and thermal dynamics, strong nonlinear photosynthetic responses and significant time-variability due to irradiance fluctuations and biomass growth. These characteristics challenge…

Systems and Control · Electrical Eng. & Systems 2026-05-26 José González-Hernández , Ainoa Morillas-España , José Luis Guzmán , José Carlos Moreno , Alain Vande Wouwer

Energy-Based Models (EBMs) present a flexible and appealing way to represent uncertainty. Despite recent advances, training EBMs on high-dimensional data remains a challenging problem as the state-of-the-art approaches are costly, unstable,…

Machine Learning · Computer Science 2021-06-08 Will Grathwohl , Jacob Kelly , Milad Hashemi , Mohammad Norouzi , Kevin Swersky , David Duvenaud

We present a method for precisely measuring the tunnel splitting in single-molecule magnets using electron-spin resonance, and use these measurements to precisely and independently determine the underlying transverse anisotropy parameter,…

Mesoscale and Nanoscale Physics · Physics 2016-12-13 Charles A. Collett , Rafael A. Allão Cassaro , Jonathan R. Friedman

Neutron correlation spectroscopy can exceed direct spectroscopy in the incoming beam intensity by up to two orders of magnitude at the same energy resolution. However, the propagation of the counting noise in the correlation algorithm of…

Instrumentation and Detectors · Physics 2016-09-13 F. Mezei , M. T. Caccamo , F. Migliardo , S. Magazù

We describe a systematic method for complete enumeration of configuration classes (CCs) of the spin-1/2 Ising model in the energy-magnetization plane. This technique is applied to the antiferromagnetic Ising model in an external magnetic…

Statistical Mechanics · Physics 2011-12-07 Bruno Jeferson Lourenço , Ronald Dickman

Hyperspectral images~(HSIs) are often contaminated by a mixture of noise such as Gaussian noise, dead lines, stripes, and so on. In this paper, we propose a multi-scale low-rank tensor regularized $\ell_{2,p}$ (MLTL2p) approach for HSI…

Optimization and Control · Mathematics 2025-07-25 Xiaoxia Liu , Shijie Yu , Jian Lu , Xiaojun Chen

We propose an experimental setup to observe coherent elastic neutrino-atom scattering (CE$\nu$AS) using electron antineutrinos from tritium decay and a liquid helium target. In this scattering process with the whole atom, that has not beeen…

High Energy Physics - Phenomenology · Physics 2019-11-06 M. Cadeddu , F. Dordei , C. Giunti , K. A. Kouzakov , E. Picciau , A. I. Studenikin

The electronic and magnetic properties of concentrated and diluted ferromagnetic semiconductors are investigated by using the Kondo lattice model, which describes an interband exchange coupling between itinerant conduction electrons and…

Disordered Systems and Neural Networks · Physics 2009-11-11 Guixin Tang , Wolfgang Nolting

For high (angular) resolution electron backscatter diffraction (HR-EBSD), the selection of a reference diffraction pattern (EBSP0) significantly affects the precision of the calculated strain and rotation maps. This effect was demonstrated…

Materials Science · Physics 2023-02-21 Abdalrhaman Koko , Vivian Tong , Angus J. Wilkinson , T. James Marrow
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