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Showing 45524 results for "machine learning" in Physics
Physics Preprint PDF DOI

Hyperfine-resolved laser excitation and detection of nuclear isomer in trapped $^{229}$Th$^{3+}$ ions

Wu Wang, Ke Zhang, Ke-Mi Xu, Shan-Gui Zhou · 2026

We present a comprehensive theoretical investigation of hyperfine-resolved excitation and detection of the low-energy isomeric state of $^{229}$Th in trapped $^{229}\mathrm{Th}^{3+}$ ions. Using a qua…

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Physics Preprint PDF DOI

Self-consistent modelling and qualitative comparison of mildly relativistic runaway electron dynamics with a closed flux surface formation model during tokamak startup

Y. Lee, H.-T. Kim, P.C. de Vries, P. Aleynikov, J. Lee, K. Park, T. Park, J. Gwak, G. Nam, W. I. Jeong, K.-D. Lee, J.-G. Bak, J. Jang, J.-W. Juhn, Y.-S. Lee, J.-K. Park, Y.-S. Na · 2026

A model for mildly relativistic Runaway Electrons (REs) is developed in a reduced-kinetic form and qualitatively compared with radiation characteristics observed in KSTAR ohmic startup. The mildly rel…

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Physics Preprint PDF DOI

Ultrafast Sliding Ferroelectric Switching in Bilayer Hexagonal Boron Nitride Revealed by Deep Learning Molecular Dynamics

Yinan Wang, Poyen Chen, Teruyasu Mizoguchi · 2026

Sliding ferroelectricity in bilayer hexagonal boron nitride (h-BN) offers compelling prospects for next-generation non-volatile memory, yet the atomistic dynamics of electric-field-driven polarization…

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Physics Preprint PDF DOI

DeepPropNet: an operator learning-based predictor for thermal plasma properties

Zuo Wang, Linlin Zhong · 2026

Thermal plasma properties play a critical role in plasma simulations and plasma-related applications. However, their strong nonlinear dependence on temperature, pressure, and gas composition makes acc…

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Physics Preprint PDF DOI

Training of particle-turbulence sub-grid-scale closures with just particle data

G. Saltar Rivera, L. Villafane, J. B. Freund · 2026

If sufficient training data are available, neural networks are attractive for representing missing physics in simulations, such as sub-grid scales in the coarse-mesh particle-turbulence system we cons…

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Physics Preprint PDF DOI

Structure-Aware Transformers for Learning Near-Optimal Trotter Orderings with System-Size Generalization in 1D Heisenberg Hamiltonians

Shamminuj Aktar, Reuben Tate, Stephan Eidenbenz · 2026

Trotterization is a standard approach for simulating quantum time evolution on quantum computers, where the Hamiltonian is split into local terms and each term is applied in sequence. The order of the…

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Physics Preprint PDF DOI

Hybrid Fourier Neural Operator-Lattice Boltzmann Method

Alexandra Junk, Josef M. Winter, Meike Tutken, Steffen Schmidt, Nikolaus A. Adams · 2026

We propose an accelerated computational fluid dynamics framework based on a hybrid Fourier Neural Operator-Lattice Boltzmann Method (FNO-LBM) for steady and unsteady weakly compressible flows. FNO-bas…

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Physics Preprint PDF DOI

Tidal Response and Thermodynamics of Black Holes

Itamar Cohen, Dina Meylakh, Michael Smolkin, Israel Warszawiak · 2026

In this work, we revisit black hole Love numbers from two complementary perspectives. First, we develop a manifestly gauge-invariant framework that directly integrates out the short-distance degrees o…

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Physics Preprint PDF DOI

Outer-Crust Equations of State for Neutron Stars

P.S. Koliogiannis, N. Paar · 2026

We construct and systematically assess four outer-crust equations of state based on relativistic nuclear mass models and a machine-learning mass table. Our aim is to quantify the sensitivity of the eq…

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Physics Preprint PDF DOI

Strict Hierarchy for Quantum Channel Certification to Unitary

Kean Chen, Qisheng Wang, Zhicheng Zhang · 2026

We consider the problem of quantum channel certification to unitary, where one is given access to an unknown $d$-dimensional channel $\mathcal{E}$, and wants to test whether $\mathcal{E}$ is equal to …

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Physics Preprint PDF DOI

Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware

Carlos Flores-Garrigos, Anton Simen, Qi Zhang, Enrique Solano, Narendra N. Hegade, Sayonee Ray, Claudio Girotto, Jason Iaconis, Martin Roetteler · 2026

We present a quantum feature-selection framework based on a higher-order unconstrained binary optimization (HUBO) formulation that explicitly incorporates multivariate dependencies beyond standard qua…

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Physics Preprint PDF DOI

Mujic{\Lambda}: Reconstructing Initial Conditions from Incomplete Redshift Surveys with Projected Optimization

Chenze Dong, Benjamin Horowitz, Adrian E. Bayer, Khee-Gan Lee · 2026

In this paper, we introduce Mujic{\Lambda} (Mapping the Universe with Jax-based Initial Condition Reconstr{\Lambda}ction), an optimization-based framework for reconstructing initial conditions from re…

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Physics Preprint PDF DOI

Theory of Relativistic Surface Plasmon Excitation on Smooth Surface by High-Intensity Laser

Bifeng Lei, Bin Qiao, Matt Zepf, Guoxing Xia, Carsten Welsh · 2026

We present a classical theory of relativistic surface plasmon (RSP) excitation at a smooth plasma-vacuum interface driven by either a ponderomotive force or an electric field of an intense laser pulse…

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Physics Preprint PDF DOI

Inverse Design of Cellular Composites for Targeted Nonlinear Mechanical Response via Multi-Fidelity Bayesian Optimisation

Hirak Kansara, Leo Guo, Wei Tan · 2026

The rise of machine learning and additive manufacturing has enabled the design of architected materials with tailored properties that surpass those of natural materials. Inverse design offers a data-e…

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Possible explanation of Hoehler's clustering: effective partial-wave mixing induced by truncation

A. Svarc · 2026

Hoehler noted that resonance poles obtained from different partial waves in $\pi N$ scattering appear to bunch together near a small set of common complex energies, and suggested that this could indic…

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Physics Preprint PDF DOI

Inferring bifurcation diagrams of two distinct chaotic systems by a single machine

Jianmin Guo, Yao Du, Yizhen Yu, Yong Zou, Xingang Wang · 2026

We propose a dual-channel reservoir-computing scheme for inferring the dynamics of two distinct chaotic systems with a single machine. By augmenting a standard reservoir with a system-label channel an…

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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 · 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 are…

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Physics Preprint PDF DOI

Leptoquarks and the Emergence of the Standard Model Gauge Group in a Self-Consistent Preon Model

Risto Raitio · 2026

We show that in a self-consistent preon model, where Standard Model quarks and leptons are three-body composites confined at a metacolor scale Lambda_cr ~ 10^14 GeV, both leptoquarks and the Standard …

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Physics Preprint PDF DOI

Normalizing flows for density estimation in multi-detector gravitational-wave searches

Sam Insley, Michael J. Williams, Rahul Dhurkunde, Ian Harry · 2026

Identifying compact binary coalescences buried within the non-Gaussian and non-stationary data taken by gravitational-wave interferometers requires sophisticated search pipelines, such as the PyCBC an…

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Physics Preprint PDF DOI

aim2dat: A Python infrastructure for automated ab initio material modeling and data analysis

Holger-Dietrich Sa{ss}nick, Joshua Edzards, Timo Reents, Caterina Cocchi · 2026

The emergence of data-driven computational materials science offers unprecedented opportunities to explore complex material landscapes, complementing experimental research with the discovery of novel …

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