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Journal articles on the topic 'Multi-Physics correlations'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Spikes, Kyle T., and Mrinal K. Sen. "Correlations of inclusion-based rock-physics model inputs from Bayesian analysis." Journal of Geophysics and Engineering 19, no. 5 (2022): 965–81. http://dx.doi.org/10.1093/jge/gxac063.

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Abstract For any given rock-physics model, knowledge of correlations among its inputs helps to define geologically and physically meaningful and informed models for a given problem. These informed models can, in turn, reduce the uncertainty in forward and inverse problems. We use a Bayesian framework to identify such correlations among inputs of two rock-physics models. That framework makes use of velocity and porosity measurements on both dry and brine-saturated carbonate samples. Two inclusion-based rock-physics models, the self-consistent approximation and the differential effective medium

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Babaee, H., P. Perdikaris, C. Chryssostomidis, and G. E. Karniadakis. "Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations." Journal of Fluid Mechanics 809 (November 21, 2016): 895–917. http://dx.doi.org/10.1017/jfm.2016.718.

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For thermal mixed-convection flows, the Nusselt number is a function of Reynolds number, Grashof number and the angle between the forced- and natural-convection directions. We consider flow over a heated cylinder for which there is no universal correlation that accurately predicts Nusselt number as a function of these parameters, especially in opposing-convection flows, where the natural convection is against the forced convection. Here, we revisit this classical problem by employing modern tools from machine learning to develop a general multi-fidelity framework for constructing a stochastic

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Papadionysiou, Marianna, Kim Seongchan, Mathieu Hursin, et al. "COUPLING OF nTRACER TO COBRA-TF FOR HIGH-FIDELITY ANALYSIS OF VVERs." EPJ Web of Conferences 247 (2021): 02008. http://dx.doi.org/10.1051/epjconf/202124702008.

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Paul Scherrer Institut is developing a high-resolution multi-physics core solver for VVER analysis. This work presents the preliminary stages of the development, specifically the coupling of the 3D pin-by-pin neutronic solver nTRACER to the sub-channel thermal-hydraulic code COBRA-TF for single assembly multi-physics steady state calculations. The coupling scheme and the modifications performed in the codes are described in details. The results of the coupled nTRACER/COBRA-TF calculations are compared to the ones of a standalone nTRACER calculation where the feedbacks are provided by a simplif

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White, Gregory A. L., Felix A. Pollock, Lloyd C. L. Hollenberg, Charles D. Hill, and Kavan Modi. "What can unitary sequences tell us about multi-time physics?" Quantum 9 (April 8, 2025): 1695. https://doi.org/10.22331/q-2025-04-08-1695.

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Multi-time quantum processes are endowed with the same richness as multipartite states, including temporal entanglement and exotic causal structures. However, experimentally probing these rich phenomena leans heavily on fast and clean mid-circuit measurements, which are rarely available. We show here how surprisingly accessible these phenomena are in nascent quantum processors even when faced with substantially limited control. We work within the limitation where only unitary control is allowed, followed by a terminating measurement. Within this setting, we first develop a witness for genuine

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Abdel-Khalek, S., K. Berrada, and H. Eleuch. "Quantum correlation and non-classical properties in semiconductor microcavities for multi-photon excitation." International Journal of Quantum Information 17, no. 05 (2019): 1950047. http://dx.doi.org/10.1142/s0219749919500473.

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We study how the interplay of weak excitation regime of quantum well confined in a semiconductor microcavity affects the dynamics of correlations and the statistical properties of photons. We discuss how the system parameters can impact the quantum entropy and Mandel’s parameter, and illustrate our concerns with numerical simulations. We have found that the enhancement of the correlations and the control of the statistical properties of photons in semiconductor microcavities for multi-photon excitation highly benefits from the combination of the strength of the field, excitonic spontaneous emi

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Ghumaryan, Hazaravard M. "Pythia8 MC Tuning Validation Using the Professor2 Package." Mathematical Problems of Computer Science 61 (June 1, 2024): 15–26. http://dx.doi.org/10.51408/1963-0112.

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This article presents a method for multi-parameter, simultaneous tuning of the Monte Carlo event generator. It is validated on the Pythia8 Monte Carlo event generator widely used in High Energy Physics (HEP). The obtained results show that the method can be used to constrain the free parameters of phenomenological models while properly taking into account the correlations existing among the parameters.

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Bogolubov, Nikolai N., and Andrey V. Soldatov. "Algebraic aspects of the driven dynamics in the density operator and correlation functions calculation for multi-level open quantum systems." International Journal of Modern Physics B 31, no. 32 (2017): 1850044. http://dx.doi.org/10.1142/s0217979218500443.

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Exact and approximate master equations were derived by the projection operator method for the reduced statistical operator of a multi-level quantum system with finite number N of quantum eigenstates interacting with arbitrary external classical fields and dissipative environment simultaneously. It was shown that the structure of these equations can be simplified significantly if the free Hamiltonian driven dynamics of an arbitrary quantum multi-level system under the influence of the external driving fields as well as its Markovian and non-Markovian evolution, stipulated by the interaction wit

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Nicassio, Nicola. "Physics programme of ALICE 3: A next-generation heavy-ion detector for LHC Run 5 and beyond." EPJ Web of Conferences 314 (2024): 00036. https://doi.org/10.1051/epjconf/202431400036.

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The ALICE Collaboration is designing a completely new apparatus, ALICE 3, for the LHC Runs 5 and 6. The detector comprises a large pixel-based tracking system covering eight units of pseudorapidity, complemented by various particle identification systems including silicon time-of-flight layers, a ring-imaging Cherenkov detector, a muon identification system, an electromagnetic calorimeter and a forward conversion tracker. ALICE 3 will, on the one hand, enable novel studies of the quark-gluon plasma (QGP) and, on the other hand, open up important physics opportunities in other areas of QCD and

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Decker, Lukas, Daniel Förster, Frank Gauterin, and Martin Doppelbauer. "Physics-Based and Data-Enhanced Model for Electric Drive Sizing during System Design of Electrified Powertrains." Vehicles 3, no. 3 (2021): 512–32. http://dx.doi.org/10.3390/vehicles3030031.

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In multi-drive electrified powertrains, the control strategy strongly influences the component load collectives. Due to this interdependency, the component sizing becomes a difficult task. This paper comprehensively analyses different electric drive system sizing methods for multi-drive systems in the literature. Based on this analysis, a new data-enhanced sizing approach is proposed. While the characteristic is depicted with a physics-based polynomial model, a data-enhanced limiting function ensures the parameter variation stays within a physically feasible range. Its beneficial value is demo

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Sahu, Nandini, Alister Graham, and Benjamin Davis. "The Morphology-dependent Black Hole–Host Galaxy Correlations: A Consequence of Physical Formation Processes." Acta Astrophysica Taurica 3, no. 1 (2021): 39–43. http://dx.doi.org/10.31059/aat.vol3.iss1.pp39-43.

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For decades, astronomers have been investigating how the central supermassive black hole (BH) may govern the host galaxy’s properties and vice versa. Our work adds another step to this study. We have performed state-of-theart 2D modeling and multi-component photometric decompositions of the largest-to-date sample of galaxies with dynamically-measured black hole masses (MBH). The multi-component decomposition allows us to accurately extract the bulge (spheroid) stellar luminosity/mass and structural parameters (also for other galaxy components) and provides detailed galaxy morphologies. We inve

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Meier, S., J. Heimerl, and P. Hommelhoff. "Correlations in strong-field-emitted ultrashort electron pulses from metal needle tips." Laser Physics Letters 21, no. 4 (2024): 045301. http://dx.doi.org/10.1088/1612-202x/ad2b5a.

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Abstract When two electrons are emitted from a metal needle tip with the help of femtosecond laser pulses, they show a strong anticorrelation signal in the energy domain. Depending on the wavelength and intensity of the driving laser pulses, the electron emission process can be either in a perturbative regime, like single- or multi-photon photoemission, or in the strong-field regime, where emission is dominated by the instantaneous electric field of the laser pulse, or in the intermediate regime. Here, we report on the two-electron anticorrelation signal and how it evolves from the multiphoton

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Lukins, James, Roger Tribe, and Oleg Zaboronski. "Multi-point correlations for two-dimensional coalescing or annihilating random walks." Journal of Applied Probability 55, no. 4 (2018): 1158–85. http://dx.doi.org/10.1017/jpr.2018.77.

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Abstract In this paper we consider an infinite system of instantaneously coalescing rate 1 simple symmetric random walks on ℤ2, started from the initial condition with all sites in ℤ2 occupied. Two-dimensional coalescing random walks are a `critical' model of interacting particle systems: unlike coalescence models in dimension three or higher, the fluctuation effects are important for the description of large-time statistics in two dimensions, manifesting themselves through the logarithmic corrections to the `mean field' answers. Yet the fluctuation effects are not as strong as for the one-dim

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SANCHIS-LOZANO, MIGUEL-ANGEL. "PROSPECTS OF SEARCHING FOR (UN)PARTICLES FROM HIDDEN SECTORS USING RAPIDITY CORRELATIONS IN MULTIPARTICLE PRODUCTION AT THE LHC." International Journal of Modern Physics A 24, no. 24 (2009): 4529–72. http://dx.doi.org/10.1142/s0217751x09045820.

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Most signatures of new physics have been studied on the transverse plane with respect to the beam direction at the LHC where background is much reduced. In this paper we propose the analysis of inclusive longitudinal (pseudo)rapidity correlations among final-state (charged) particles in order to search for (un)particles belonging to a hidden sector beyond the Standard Model, using a selected sample of p–p minimum bias events (applying appropriate off-line cuts on events based on, e.g. minijets, high-multiplicity, event shape variables, high-p⊥ leptons and photons, etc.) collected at the early

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Barrett, Alexander, and Preston Jones. "Second Order Glauber Correlation of Gravitational Waves Using the LIGO Observatories as Hanbury Brown and Twiss Detectors." Physical Sciences Forum 2, no. 1 (2021): 25. http://dx.doi.org/10.3390/ecu2021-09519.

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The second order Glauber correlation of a simplified gravitational wave is investigated, using parameters from the first signal detected by LIGO. This simplified model spans the inspiral, merger, and ringdown phases of a black hole merger and was created to have a continuous amplitude, so there is no discontinuity between the phases. This allows for a trivial extraction of the intensity, which is necessary for determining the correlation between detectors. The two LIGO observatories can be used as detectors in a Hanbury Brown and Twiss interferometer for gravitational waves; these observatorie

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KROTSCHECK, E., H. M. BÖHM, and K. SCHÖRKHUBER. "TWO–PARTICLE–TWO–HOLE EXCITATIONS IN 3He." International Journal of Modern Physics B 20, no. 19 (2006): 2657–66. http://dx.doi.org/10.1142/s021797920603514x.

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We describe the development of a systematic theory of excitations in strongly interacting Fermi systems. Technically, we derive the equations of motion for multi–pair excitations from a stationarity principle. This method has, in Fermi systems, so far been developed only to the level of one–particle–one–hole excitations, where it leads to the (correlated) random phase approximation (RPA). We extend the analysis here to pair excitations. Our work is motivated by the fact that time–dependent pair correlations are necessary for explaining the physics of the phonon–roton spectrum in 4 He . It is t

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Yu, Xie-Hang, Zhiyuan Wang, and Pavel Kos. "Hierarchical generalization of dual unitarity." Quantum 8 (February 20, 2024): 1260. http://dx.doi.org/10.22331/q-2024-02-20-1260.

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Quantum dynamics with local interactions in lattice models display rich physics, but is notoriously hard to study. Dual-unitary circuits allow for exact answers to interesting physical questions in clean or disordered one- and higher-dimensional quantum systems. However, this family of models shows some non-universal features, like vanishing correlations inside the light-cone and instantaneous thermalization of local observables. In this work we propose a generalization of dual-unitary circuits where the exactly calculable spatial-temporal correlation functions display richer behavior, and hav

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Lundquist, Jon Paul. "Multimessenger Studies with the Pierre Auger Observatory." Particles 8, no. 2 (2025): 45. https://doi.org/10.3390/particles8020045.

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The Pierre Auger Observatory, the world’s largest ultra-high-energy (UHE) cosmic ray (CR) detector, plays a crucial role in multi-messenger astroparticle physics with its high sensitivity to UHE photons and neutrinos. Recent Auger Observatory studies have set stringent limits on the diffuse and point-like fluxes of these particles, enhancing constraints on dark-matter models and UHECR sources. Although no temporal coincidences of neutrinos or photons with LIGO/Virgo gravitational wave events have been observed, competitive limits on the energy radiated in these particles have been established,

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Senger, Peter. "Status of the Compressed Baryonic Matter experiment at FAIR." International Journal of Modern Physics E 29, no. 02 (2020): 2030001. http://dx.doi.org/10.1142/s0218301320300015.

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The Compressed Baryonic Matter (CBM) experiment will investigate high-energy heavy-ion collisions at the international Facility for Antiproton and Ion Research (FAIR), which is under construction in Darmstadt, Germany. The CBM research program is focused on the exploration of QCD matter at neutron star core densities, such as study of the equation-of-state and the search for phase transitions. Key experimental observables include (multi-) strange (anti-) particles, electron-positron pairs and dimuons, particle correlations and fluctuations, and hyper-nuclei. In order to measure these diagnosti

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Alfonso, Lester, Graciela B. Raga, and Darrel Baumgardner. "The impact of fluctuations and correlations in droplet growth by collision–coalescence revisited – Part 2: Observational evidence of gel formation in warm clouds." Atmospheric Chemistry and Physics 19, no. 23 (2019): 14917–32. http://dx.doi.org/10.5194/acp-19-14917-2019.

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Abstract. In recent papers (Alfonso et al., 2013; Alfonso and Raga, 2017) the sol–gel transition was proposed as a mechanism for the formation of large droplets required to trigger warm rain development in cumulus clouds. In the context of cloud physics, gelation can be interpreted as the formation of the “lucky droplet” that grows by accretion of smaller droplets at a much faster rate than the rest of the population and becomes the embryo for raindrops. However, all the results in this area have been theoretical or simulation studies. The aim of this paper is to find some observational eviden

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Kumar, Pinaki, Roberto Benzi, Jeannot Trampert, and Federico Toschi. "A multi-component lattice Boltzmann approach to study the causality of plastic events." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2175 (2020): 20190403. http://dx.doi.org/10.1098/rsta.2019.0403.

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Using a multi-component lattice Boltzmann (LB) model, we perform fluid kinetic simulations of confined and concentrated emulsions. The system presents the phenomenology of soft-glassy materials, including a Herschel–Bulkley rheology, yield stress, ageing and long relaxation time scales. Shearing the emulsion in a Couette cell below the yield stress results in plastic topological re-arrangement events which follow established empirical seismic statistical scaling laws, making this system a good candidate to study the physics of earthquakes. One characteristic of this model is the tendency for e

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Kondrashov, D., and M. Ghil. "Spatio-temporal filling of missing points in geophysical data sets." Nonlinear Processes in Geophysics 13, no. 2 (2006): 151–59. http://dx.doi.org/10.5194/npg-13-151-2006.

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Abstract. The majority of data sets in the geosciences are obtained from observations and measurements of natural systems, rather than in the laboratory. These data sets are often full of gaps, due to to the conditions under which the measurements are made. Missing data give rise to various problems, for example in spectral estimation or in specifying boundary conditions for numerical models. Here we use Singular Spectrum Analysis (SSA) to fill the gaps in several types of data sets. For a univariate record, our procedure uses only temporal correlations in the data to fill in the missing point

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Sinclair, Kenneth, Bastiaan van Diedenhoven, Brian Cairns, John Yorks, Andrzej Wasilewski, and Matthew McGill. "Remote sensing of multiple cloud layer heights using multi-angular measurements." Atmospheric Measurement Techniques 10, no. 6 (2017): 2361–75. http://dx.doi.org/10.5194/amt-10-2361-2017.

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Abstract. Cloud top height (CTH) affects the radiative properties of clouds. Improved CTH observations will allow for improved parameterizations in large-scale models and accurate information on CTH is also important when studying variations in freezing point and cloud microphysics. NASA's airborne Research Scanning Polarimeter (RSP) is able to measure cloud top height using a novel multi-angular contrast approach. For the determination of CTH, a set of consecutive nadir reflectances is selected and the cross correlations between this set and collocated sets at other viewing angles are calcula

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Aurell, Erik, Michał Eckstein, and Paweł Horodecki. "Hawking radiation and the quantum marginal problem." Journal of Cosmology and Astroparticle Physics 2022, no. 01 (2022): 014. http://dx.doi.org/10.1088/1475-7516/2022/01/014.

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Abstract In 1974 Steven Hawking showed that black holes emit thermal radiation, which eventually causes them to evaporate. The problem of the fate of information in this process is known as the “black hole information paradox”. Two main types of resolution postulate either a fundamental loss of information in Nature — hence the breakdown of quantum mechanics — or some sort of new physics, e.g. quantum gravity, which guarantee the global preservation of unitarity. Here we explore the second possibility with the help of recent developments in continuous-variable quantum information. Concretely,

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MENG, Jiawen, Achim WINANDI, and Frank GAUTERIN. ""Projekt TyreRoadNoise" -- Data-based study of effects on controlled and real drive noise emission." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 8 (2024): 3360–65. http://dx.doi.org/10.3397/in_2024_3315.

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Road traffic noise affects the quality of life of many citizens. In particular, the noise emitted by electric vehicles is mainly caused by tyre-road contact. There are many conflicts of interest between the performance characteristics of tyres and road surfaces. Therefore, more accurate prediction models are needed to exploit the potential for reducing tyre-road noise emissions during development. To this end, the TyreRoadNoise project team is developing a physics- and data-based tyre-road noise prediction model over a three-year period. A multi-manufacturer fleet of vehicles will collect exte

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Fan, Dongyan, Sicen Lai, Hai Sun, et al. "Review of Machine Learning Methods for Steady State Capacity and Transient Production Forecasting in Oil and Gas Reservoir." Energies 18, no. 4 (2025): 842. https://doi.org/10.3390/en18040842.

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Accurate oil and gas production forecasting is essential for optimizing field development and operational efficiency. Steady-state capacity prediction models based on machine learning techniques, such as Linear Regression, Support Vector Machines, Random Forest, and Extreme Gradient Boosting, effectively address complex nonlinear relationships through feature selection, hyperparameter tuning, and hybrid integration, achieving high accuracy and reliability. These models maintain relative errors within acceptable limits, offering robust support for reservoir management. Recent advancements in sp

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Bhagat, Kunal, and Shiva Rudraraju. "A Numerical Investigation of Dimensionless Numbers Characterizing Meltpool Morphology of the Laser Powder Bed Fusion Process." Materials 16, no. 1 (2022): 94. http://dx.doi.org/10.3390/ma16010094.

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Microstructure evolution in metal additive manufacturing (AM) is a complex multi-physics and multi-scale problem. Understanding the impact of AM process conditions on the microstructure evolution and the resulting mechanical properties of the printed component remains an active area of research. At the meltpool scale, the thermo-fluidic governing equations have been extensively modeled in the literature to understand the meltpool conditions and the thermal gradients in its vicinity. In many phenomena governed by partial differential equations, dimensional analysis and identification of importa

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Liu, Yuan, Ravi Ravichandran, Kuiying Chen, and Prakash Patnaik. "Application of Machine Learning to Solid Particle Erosion of APS-TBC and EB-PVD TBC at Elevated Temperatures." Coatings 11, no. 7 (2021): 845. http://dx.doi.org/10.3390/coatings11070845.

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Machine learning (ML) and deep learning (DL) for big data (BD) management are currently viable approaches that can significantly help in high-temperature materials design and development. ML-DL can accumulate knowledge by learning from existing data generated through multi-physics modelling (MPM) and experimental tests (ETs). DL mainly involves analyzing nonlinear correlations and high-dimensional datasets implemented through specifically designed numerical algorithms. DL also makes it possible to learn from new data and modify predictive models over time, identifying anomalies, signatures, an

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Pashov, Dimitar, Swagata Acharya, Stephan Lany, Daniel S. Dessau, and Mark van Schilfgaarde. "Multiple Slater Determinants and Strong Spin-Fluctuations as Key Ingredients of the Electronic Structure of Electron- and Hole-Doped Pb10−xCux(PO4)6O." Crystals 15, no. 7 (2025): 621. https://doi.org/10.3390/cryst15070621.

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LK-99, with chemical formula Pb10−xCux(PO4)6O, was recently reported to be a room-temperature superconductor. While this claim has met with little support in a flurry of ensuing work, a variety of calculations (mostly based on density-functional theory) have demonstrated that the system possesses some unusual characteristics in the electronic structure, in particular flat bands. We have established previously that within DFT, the system is insulating with many characteristics resembling the classic cuprates, provided the structure is not constrained to the P3(143) symmetry nominally assigned t

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Sairajan, K. K., G. S. Aglietti, and Scott J. I. Walker. "Correlation of finite element models of multi-physics systems." Journal of Sound and Vibration 333, no. 17 (2014): 4051–70. http://dx.doi.org/10.1016/j.jsv.2014.04.010.

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Obeng, Yaw. "Towards Digital Twin Standards in Chemical Mechanical Planarization (CMP) for Advanced Packaging." ECS Meeting Abstracts MA2024-01, no. 20 (2024): 1279. http://dx.doi.org/10.1149/ma2024-01201279mtgabs.

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A digital twin is an integrated multi-physics, multiscale, probabilistic simulation of a system that uses the best available physical models, sensor updates, process history, etc., to mimic and to predict the performance of the system. In the semiconductor industry, there is a need to establish such fundamental, mechanism-based, correlations between process conditions and observed process performance. Such understanding can lead to the creation of industry-wide technical standards, and digital twins (i.e., real time digital replicas of unit processes), that will enable inter-operability, ease

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Franco, Alejandro A. "(Invited) Digital Twin for Inverse Design of Battery Manufacturing Processes." ECS Meeting Abstracts MA2024-02, no. 3 (2024): 374. https://doi.org/10.1149/ma2024-023374mtgabs.

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The manufacturing process of lithium ion battery (LIB) electrodes impacts their architecture and the practical properties of the cells, such as their energy and power densities, their durability and safety. Therefore, it is crucial to optimize this manufacturing process in a proper manner. Such an optimization is highly complex because of the very significant amount of parameters and numerous interdependencies between the process steps, such as the slurry mixing, the casting, the drying, the calendering, the assembly, the electrolyte filling and the solid electrolyte interphase formation. As a

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Liang, Jiaji, Jinniu Miao, Lei Sun, et al. "Supply–Demand Dynamics Quantification and Distributionally Robust Scheduling for Renewable-Integrated Power Systems with Flexibility Constraints." Energies 18, no. 5 (2025): 1181. https://doi.org/10.3390/en18051181.

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The growing penetration of renewable energy sources (RES) has exacerbated operational flexibility deficiencies in modern power systems under time-varying conditions. To address the limitations of existing flexibility management approaches, which often exhibit excessive conservatism or risk exposure in managing supply–demand uncertainties, this study introduces a data-driven distributionally robust optimization (DRO) framework for power system scheduling. The methodology comprises three key phases: First, a meteorologically aware uncertainty characterization model is developed using Copula theo

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Kabra, Venkatesh, Ishita Kamboj, Veronica Augustyn, and Partha P. Mukherjee. "Data Driven Model for Lithium-Ion Battery Electrode Microstructure Property Estimation." ECS Meeting Abstracts MA2022-02, no. 3 (2022): 176. http://dx.doi.org/10.1149/ma2022-023176mtgabs.

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Li-ion batteries (LIB) are ubiquitous in today’s world with applications ranging from portable electronic devices to electric vehicles. These set of applications require the batteries to have diverse energy and power dense configurations. For these reasons the LIB exists in multiple form factors such as cylindrical, pouch cell configurations and different chemistries. The most commercialized and successful LIB are based on intercalation mechanism, which requires shuttling of Li-ion between anode and cathode with redox reaction occurring on the surface of the electrodes and ultimately leading t

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Santos, Andrés, and Jarosław Piasecki. "Multi-particle critical correlations." Molecular Physics 113, no. 17-18 (2015): 2855–62. http://dx.doi.org/10.1080/00268976.2015.1021397.

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Bianchet, Lorena C., Natalia Alves, Laura Zarraoa, Natalia Bruno, and Morgan W. Mitchell. "Manipulating and measuring single atoms in the Maltese cross geometry." Open Research Europe 1 (September 6, 2021): 102. http://dx.doi.org/10.12688/openreseurope.13972.1.

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Background: Optical microtraps at the focus of high numerical aperture (high-NA) imaging systems enable efficient collection, trapping, detection and manipulation of individual neutral atoms for quantum technology and studies of optical physics associated with super- and sub-radiant states. The recently developed “Maltese cross” geometry (MCG) atom trap uses four in-vacuum lenses to achieve four-directional high-NA optical coupling to single trapped atoms and small atomic arrays. This article presents the first extensive characterisation of atomic behaviour in a MCG atom trap. Methods: We empl

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Bianchet, Lorena C., Natalia Alves, Laura Zarraoa, Natalia Bruno, and Morgan W. Mitchell. "Manipulating and measuring single atoms in the Maltese cross geometry." Open Research Europe 1 (March 3, 2022): 102. http://dx.doi.org/10.12688/openreseurope.13972.2.

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Background: Optical microtraps at the focus of high numerical aperture (high-NA) imaging systems enable efficient collection, trapping, detection and manipulation of individual neutral atoms for quantum technology and studies of optical physics associated with super- and sub-radiant states. The recently developed “Maltese cross” geometry (MCG) atom trap uses four in-vacuum lenses to achieve four-directional high-NA optical coupling to single trapped atoms and small atomic arrays. This article presents the first extensive characterisation of atomic behaviour in a MCG atom trap. Methods: We empl

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Snoll, Brooke, Ruza Ivanovic, Lauren Gregoire, et al. "A multi-model assessment of the early last deglaciation (PMIP4 LDv1): a meltwater perspective." Climate of the Past 20, no. 4 (2024): 789–815. http://dx.doi.org/10.5194/cp-20-789-2024.

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Abstract. The last deglaciation (∼20–11 ka BP) is a period of a major, long-term climate transition from a glacial to interglacial state that features multiple centennial- to decadal-scale abrupt climate variations whose root cause is still not fully understood. To better understand this time period, the Paleoclimate Modelling Intercomparison Project (PMIP) has provided a framework for an internationally coordinated endeavour in simulating the last deglaciation whilst encompassing a broad range of models. Here, we present a multi-model intercomparison of 17 transient simulations of the early p

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Chiorean, Radu, Mircea Cristian Dudescu, Marius Pustan, and Mihail Hărdău. "V-Beam Thermal Actuator’s Performance Analysis Using Digital Image Correlation." Applied Mechanics and Materials 658 (October 2014): 173–76. http://dx.doi.org/10.4028/www.scientific.net/amm.658.173.

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This paper analyses the influence of the V-beam thermal actuator’s geometrical parameters on its mechanical behavior. Experimental measurements were performed using Digital Image Correlation (DIC), which is a gray scale value tracking algorithm that evaluates the position shift of a pixel between at least two images taken at different deformation stages. These results are compared to multi-physics simulation data obtained using Finite Element Analysis (FEA) as well as to analytical values based on the electro-thermal and thermo-mechanical presented models.

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Adamska, L. V., and A. M. Gavrilik. "Multi-particle correlations inqp-Bose gas model." Journal of Physics A: Mathematical and General 37, no. 17 (2004): 4787–95. http://dx.doi.org/10.1088/0305-4470/37/17/009.

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Mishra, Aashwin A., and Sharath S. Girimaji. "Intercomponent energy transfer in incompressible homogeneous turbulence: multi-point physics and amenability to one-point closures." Journal of Fluid Mechanics 731 (August 28, 2013): 639–81. http://dx.doi.org/10.1017/jfm.2013.343.

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AbstractIntercomponent energy transfer (IET) is a direct consequence of the incompressibility-preserving action of pressure. This action of pressure is inherently non-local, and consequently its modelling must address multi-point physics. However, in second moment closures, pragmatism mandates a single-point closure model for the pressure–strain correlation, that is, the source of IET. In this study, we perform a rapid distortion analysis to demonstrate that for a given mean-flow gradient, IET is strongly dependent on fluctuation modes and critically influences the flow stability, asymptotic s

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Ludwig, Patrick, Hauke Thomsen, Karsten Balzer, Alexei Filinov, and Michael Bonitz. "Tuning correlations in multi-component plasmas." Plasma Physics and Controlled Fusion 52, no. 12 (2010): 124013. http://dx.doi.org/10.1088/0741-3335/52/12/124013.

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Amelin, Nikolai, and Richard Lednicky. "Multi-Boson correlations and classical transport models." Acta Physica Hungarica A) Heavy Ion Physics 4, no. 1-4 (1996): 241–47. http://dx.doi.org/10.1007/bf03155619.

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Rajesh, R. "Multi-avalanche correlations in directed sandpile models." EPL (Europhysics Letters) 85, no. 1 (2009): 10001. http://dx.doi.org/10.1209/0295-5075/85/10001.

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Klobas, Katja, Matthieu Vanicat, Juan P. Garrahan, and Tomaž Prosen. "Matrix product state of multi-time correlations." Journal of Physics A: Mathematical and Theoretical 53, no. 33 (2020): 335001. http://dx.doi.org/10.1088/1751-8121/ab8c62.

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Paz-Silva, Gerardo A., and John H. Reina. "Total correlations as multi-additive entanglement monotones." Journal of Physics A: Mathematical and Theoretical 42, no. 5 (2009): 055306. http://dx.doi.org/10.1088/1751-8113/42/5/055306.

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Delipei, Gregory K., Pascal Rouxelin, Agustin Abarca, Jason Hou, Maria Avramova, and Kostadin Ivanov. "CTF-PARCS Core Multi-Physics Computational Framework for Efficient LWR Steady-State, Depletion and Transient Uncertainty Quantification." Energies 15, no. 14 (2022): 5226. http://dx.doi.org/10.3390/en15145226.

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Best Estimate Plus Uncertainty (BEPU) approaches for nuclear reactor applications have been extensively developed in recent years. The challenge for BEPU approaches is to achieve multi-physics modeling with an acceptable computational cost while preserving a reasonable fidelity of the physics modeled. In this work, we present the core multi-physics computational framework developed for the efficient computation of uncertainties in Light Water Reactor (LWR) simulations. The subchannel thermal-hydraulic code CTF and the nodal expansion neutronic code PARCS are coupled for the multi-physics model

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VanderKam, Jeffrey M. "Correlations of Eigenvalues on¶Multi-Dimensional Flat Tori." Communications in Mathematical Physics 210, no. 1 (2000): 203–23. http://dx.doi.org/10.1007/s002200050777.

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Gamble, Ronald, Jordan Forman, Amethyst Barnes, Gokul Srinivasaragavan, Isiah Holt, and Marvin Jones. "Multi-messenger emission characteristics of blazars." Frontiers in Astronomy and Space Sciences 11 (September 5, 2024). http://dx.doi.org/10.3389/fspas.2024.1401891.

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Multi-messenger observations and theories of astrophysical objects are rapidly becoming a critical research area in the astrophysics scientific community. In particular, point-like objects such as BL Lacertae (BL Lac) objects, flat-spectrum radio quasars (FSRQs), and blazar candidates of uncertain type (BCUs) are of distinct interest to researchers studying the synchrotron, Compton, neutrino, and cosmic ray emissions sourced from compact objects. Notably, there is also much interest in the correlation between multi-frequency observations of blazars and neutrino surveys on source demographics.

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Ghosh, Suprovo, Bikram Keshari Pradhan, Debarati Chatterjee, and Jürgen Schaffner-Bielich. "Multi-Physics Constraints at Different Densities to Probe Nuclear Symmetry Energy in Hyperonic Neutron Stars." Frontiers in Astronomy and Space Sciences 9 (March 28, 2022). http://dx.doi.org/10.3389/fspas.2022.864294.

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The appearance of strangeness in the form of hyperons within the inner core of neutron stars is expected to affect its detectable properties, such as its global structure or gravitational wave emission. This work explores the parameter space of hyperonic stars within the framework of the Relativistic Mean Field model allowed by the present uncertainties in the state-of-the-art nuclear and hypernuclear experimental data. We impose multi-physics constraints at different density regimes to restrict the parameter space: Chiral effective field theory, heavy-ion collision data, and multi-messenger a

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Guo, Rui, Hongyu Zhou, Xiaolong Wei, et al. "Deep joint inversion of multiple geophysical data with U-net reparameterization." GEOPHYSICS, August 6, 2024, 1–68. http://dx.doi.org/10.1190/geo2024-0210.1.

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Joint inversion integrates various geophysical data in a unified framework to reveal different subsurface properties. Existing methods often require predefined correlations through mathematical equations or training datasets, heavily relying on prior information. Additionally, integrating multi-physics data with different sensitivities is challenging. To address these limitations, we propose a novel approach that utilizes U-net to automatically establish correlations during inversion, which yields consistent inverted models across different resolutions. Different properties are represented by

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