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๐Ÿ” tyler reddy ๐Ÿ“‚ Physics
Showing 3499 results for "tyler reddy" in Physics
Physics Preprint PDF DOI

HyPulse: A Pulse Synthesis Framework for Hybrid Qubit-Oscillator Gates on Trapped-Ion Platform

Masoud Hakimi Heris, Yuan Liu, Frank Mueller ยท 2026

As hybrid qubit-oscillator algorithm development and trapped-ion hardware demonstrations advance in parallel, there is a lack of a compilation layer connecting the two at the pulse level in the verticโ€ฆ

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Physics Preprint PDF DOI

Conditional diffusion denoising probabilistic model for super-resolution of atmospheric boundary layer large eddy simulation

Omar Sallam, Mirjam Furth ยท 2026

Climate change necessitates rapid expansion of renewable energy, with wind energy offering a scalable and low-impact solution. However, accurate prediction of wind loads and power generation remains cโ€ฆ

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Physics Preprint PDF DOI

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence

Sunan Zhao, Yunpeng Wang, Huiyu Yang, Zhihong Guo, Jianchun Wang ยท 2026

Accurate and efficient prediction of three-dimensional (3D) wall-bounded turbulent flows poses a significant challenge for machine learning methods, particularly in scenarios where flow field data areโ€ฆ

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Physics Preprint PDF DOI

A conservative low-order model for Boussinesq baroclinic fronts

Nadav Yovel, Eyal Heifetz ยท 2026

The internal dynamics of baroclinic fronts are governed by a fundamental interplay: turbulent eddies systematically act to disrupt thermal wind balance, with baroclinic eddies flattening isopycnals anโ€ฆ

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Physics Preprint PDF DOI

Accelerating finite-element-based projector augmented-wave density functional theory calculations with scalable GPU-centric computational methods

Kartick Ramakrishnan, Phani Motamarri ยท 2026

Accurate large-scale Kohn-Sham density functional theory (DFT) calculations are essential for modeling complex material systems, including interfaces, defects, nanoclusters, and twisted two-dimensionaโ€ฆ

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Physics Preprint PDF DOI

Discovery of Sparse Invariant Subgrid-Scale Closures via Dissipation-Controlled Training for Large Eddy Simulation on Anisotropic Grids

Samantha Friess, Aviral Prakash, John A. Evans ยท 2026

Neural networks offer highly expressive turbulence closures, yet their complexity obscures the physical mechanisms they aim to model, and their computational cost can limit their tractability. To addrโ€ฆ

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Physics Preprint PDF DOI

Validity of DFT+U band gaps in all its known functional forms

Andrew C. Burgess, David D. O'Regan ยท 2026

The Density Functional Theory plus Hubbard $U$ (DFT+$U$) technique is one of the most widely used tools by condensed matter physicists and solid state chemists for the simulation of transition-metal aโ€ฆ

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Physics Preprint PDF DOI

Parallel distributed quantum gates for dual-species quantum emitters

Zhihao Xie, Adam Miranowicz, Zhenhua Li, Tao Li, Franco Nori ยท 2026

We propose a parallel protocol for implementing distributed nonlocal quantum gates between spatially separated stationary qubits encoded in dual-species quantum emitters (i.e., color-center and supercโ€ฆ

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Physics Preprint PDF DOI

Getting large-scale quantum neural networks ready for quantum hardware

Mario Boneberg, Simon Kochsiek, Igor Lesanovsky ยท 2026

Quantum neural networks generalize classical artificial neural networks into the quantum domain. They are formulated as parameterized quantum circuits which are optimized by measuring and minimizing aโ€ฆ

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Physics Preprint PDF DOI

The data analysis pipeline for the Microchannel X-ray Telescope on board the SVOM mission

P. Maggi, L. Michel, D. Gotz, S. Crepaldi, A. Fort, L. Kleiver, A. Lorang, K. Mercier, M. Moita, P. Guillout, C. Motch, F. Robinet, A. Sauvageon ยท 2026

The Space-based multi-band astronomical Variable Objects Monitor (SVOM) mission was launched in June 2024. It is a joint Sino-French collaboration designed to detect, localize, and study gammaray bursโ€ฆ

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Physics Preprint PDF DOI

Learning subgrid interfacial area in two-phase flows with regime-dependent inductive biases

Anirban Bhattacharjee, Luis H. Hatashita, Suhas S. Jain ยท 2026

The reliability of machine learning in multiscale physical systems depends on how physical structure is embedded into the learning process. We investigate this in the context of turbulent multiphase fโ€ฆ

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Physics Preprint PDF DOI

Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics

Ashwin Suriyanarayanan, Dibyajyoti Chakraborty, Romit Maulik ยท 2026

Deep learning approaches have shown remarkable promise in turbulence closure modeling for large eddy simulations (LES). The differentiable physics paradigm uses the so-called a-posteriori approach forโ€ฆ

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Physics Preprint PDF DOI

Quantitative Evaluation of Forward and Backward Scattering in Isotropic Turbulence via H\"anggi--Klimontovich and It\^o Stochastic Processes

Nicola de Divitiis ยท 2026

This work evaluates the magnitude of the turbulent energy cascade in terms of forward and backward scattering by modeling the "stretch and fold" mechanism through a drift-free Hanggi-Klimontovich stocโ€ฆ

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Physics Preprint PDF DOI

Turbulent mixing of a hydrogen jet in crossflow: direct numerical simulation and model assessment

Yiqing Wang, Chao Xu, Riccardo Scarcelli, Ben Cantrell, Jon Anders, Sameera Wijeyakulasuriya ยท 2026

A numerical study for a hydrogen (H2) jet in an air crossflow (JICF) was performed using direct numerical simulation (DNS), large eddy simulation (LES), and Reynolds-averaged Navier-Stokes (RANS) apprโ€ฆ

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Physics Preprint PDF DOI

Nanoscale Fluorescence Thermometry: Probes, Recent Advances and Emerging Directions

Md Shakhawath Hossain, Nhat Minh Nguyen, Thi Ngoc Anh Mai, Trung Vuong Doan, Chaohao Chen, Qian Peter Su, Jiayan Liao, Yongliang Chen, Quynh Le-Van, Vu Khac Dat, Toan Dinh, Xiaoxue Xu, Toan Trong Tran ยท 2026

The transition of materials and devices to nanometer, atomic, and quantum scales makes thermal characterization increasingly challenging, driving the need for advanced nanoscale thermometry. Fluoresceโ€ฆ

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Physics Preprint PDF DOI

AtomTwin.jl: a physics-native digital twin framework for neutral-atom quantum processors

Shannon Whitlock ยท 2026

AtomTwin$.$jl is an open-source Julia package for developing and simulating quantum protocols, hardware configurations and building digital twins for neutral-atom quantum processors and related atomicโ€ฆ

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Physics Preprint PDF DOI

Assessment of Reynolds-Averaged Navier-Stokes Modeling of Jet Interaction in Fan-Array Wind Generator Flows

M. Hosein Niroomand, Utku Senturk ยท 2026

Fan-array wind generators (FAWGs) provide controlled turbulent inflow conditions that cannot be reproduced in conventional wind tunnels. Despite their increasing use in experimental studies, numericalโ€ฆ

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Physics Preprint PDF DOI

Collective Resonance of Superconducting/Normal Domain Walls in the Intermediate State of type-I superconductor

Mengju Yuan, Yugang Zhang, Ying Zhu, Jingchun Gao, Aifeng Wang, Mingquan He, Jun-Yi Ge, Yisheng Chai ยท 2026

The dynamics of phase boundaries, such as superconducting/normal (S/N) interfaces in type-I superconductors, are typically obscured in conventional magnetic measurements, which are dominated by surfacโ€ฆ

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Physics Preprint PDF DOI

A ready-to-fit inhomogeneous cosmological model: the axially symmetric Szekeres spacetime

Marie-Noelle Celerier (Observatoire de Paris-PSL) ยท 2026

The purpose of the present work is based on two main observations: the tensions encountered by the standard $\Lambda$CDM model when confronted to precision small scale cosmological data and the findinโ€ฆ

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Physics Preprint PDF DOI

Implicit Velocity Correction Schemes for Scale-Resolving Simulations of Incompressible Flow: Stability, Accuracy, and Performance

Henrik Wustenberg, Alexandra Liosi, Spencer J. Sherwin, Joaquim Peiro, David Moxey ยท 2026

Scale-resolving simulations of high Reynolds number incompressible flows are often limited by the Courant-Friedrichs-Lewy (CFL) stability restriction imposed by explicit time-stepping schemes, resultiโ€ฆ

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