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๐Ÿ” moncef ghazel ๐Ÿ“‚ Physics
Showing 6328 results for "moncef ghazel" in Physics
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Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

Pauliina Hirvi, Jaakko Olkkonen, Qianqian Fang, Ilkka Nissila ยท 2026

Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations aโ€ฆ

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GLoop: A Monte Carlo program to construct higher-loop integrals from lower-loop structures

Roberto Pittau ยท 2026

We present GLoop, a Fortran90 computational framework that allows one to compute by Monte Carlo a certain class of higher-loop integrals in terms of lower-loop building blocks. This is based on a receโ€ฆ

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Tightening energy-based boson truncation bound using Monte Carlo-assisted methods

Jinghong Yang, Christopher F. Kane, Shabnam Jabeen ยท 2026

Quantum simulation offers a promising framework for quantum field theory calculations. Obtaining reliable results, however, requires careful characterization of systematic uncertainties. One importantโ€ฆ

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An axion framework for Particle-in-Cell codes with Monte-Carlo sampling: emission, absorption, and detailed balance in plasmas

Miles Radford, Ahmed Alsulami, Bertrand Martinez, Pablo Bilbao, Thomas Grismayer, Luis O. Silva, Robert Bingham, Gianluca Gregori ยท 2026

We present an extension of the OSIRIS particle-in-cell (PIC) code that introduces an axion macroparticle species and three axion-production channels commonly used in thermal-plasma axion phenomenologyโ€ฆ

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Fractals of Simple Random Walks in Two Dimensions: A Monte Carlo Study

Jiang Zhou, Ziru Deng, Pengcheng Hou ยท 2026

We present a Monte Carlo study of the fractal geometry of clusters formed by discrete-time simple random walks (sRW) of $L^2$ steps on a periodic square $L\times L$ lattice. We verify with high precisโ€ฆ

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Divide-and-Conquer Neural Network Surrogates for Quantum Sampling: Accelerating Markov Chain Monte Carlo in Large-Scale Constrained Optimization Problems

Yuya Kawamata, Yuichiro Nakano, Keisuke Fujii ยท 2026

Sampling problems are promising candidates for demonstrating quantum advantage, and one approach known as quantum-enhanced Markov chain Monte Carlo [Layden, D. et al., Nature 619, 282-287 (2023)] usesโ€ฆ

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MonteQ: A Monte Carlo Tree Search Based Quantum Circuit Synthesis Framework

Mulundano Machiya, Matt Menickelly, Paul Hovland, Ji Liu ยท 2026

Hamiltonian simulation is one of the most promising paths toward quantum advantage. Most prior approaches to Hamiltonian simulation circuit synthesis focus on local rewrite rules and low-level optimizโ€ฆ

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Low-noise Pauli-consistent ensemble Monte Carlo for graphene with electron-electron scattering

Tigran Zalinyan, Giovanni Nastasi ยท 2026

We investigate Pauli-consistent ensemble Monte Carlo simulations of graphene with explicit intraband electron-electron scattering. To reduce the cost of electron-electron proposal-rate evaluation, we โ€ฆ

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Multi-Fidelity Monte-Carlo Estimation of Satellite Drag in Very-Low-Earth Orbit

Jovan Boskovic, Marcel Pfeifer, Andrea Beck ยท 2026

Very-low-Earth orbit drag uncertainty quantification in the rarefied/transitional Knudsen-number regime requires estimating not only the mean drag coefficient but also higher-order moments under atmosโ€ฆ

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Monte Carlo Study of the Phase Transition of the $XY$ Model on a Diamond Lattice

Sena Watanabe, Yukitoshi Motome, Haruki Watanabe ยท 2026

We study the phase transition of the classical $XY$ model on a diamond lattice by Monte Carlo simulations using the Wolff cluster algorithm. Finite-size scaling (FSS) analysis of the Binder cumulant aโ€ฆ

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Synthetic Seismograms from Particle Bed Interactions and Turbulent River Flow: Modeling and Comparison with Observations

Sara Nicoletti, Giacomo Belli, Omar Morandi, Emanuele Marchetti ยท 2026

We present a physics based numerical model that estimates the seismic radiation generated by water sediment flows in gravel-bed rivers. The model reproduces the trajectories of individual particles, eโ€ฆ

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Enhancing Neural-Network Variational Monte Carlo through Basis Transformation

Zhixuan Liu, Dongheng Qian, Jing Wang ยท 2026

Neural-network variational Monte Carlo (NNVMC) has emerged as a powerful tool for solving quantum many-body problems, yet systematic pathways for improving its accuracy remain largely heuristic. Here,โ€ฆ

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Superconductivity near two-dimensional Van Hove singularities: a determinant quantum Monte Carlo study

Gustav Romare, Daniel Shaffer, Alex Levchenko, Edwin Huang, Ilya Esterlis ยท 2026

The superconducting transition temperature $T_c$ of the two-dimensional attractive Hubbard model is computed in the vicinity of both ordinary (logarithmic) and higher-order (power-law) Van Hove singulโ€ฆ

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Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Ian Pile, Youjin Deng, Lev Shchur ยท 2026

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Swendsen-Wang and Wolff cluster algorithms. Weโ€ฆ

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SMC-AI: Scaling Monte Carlo Simulation to Four Trillion Atoms with AI Accelerators

Xianglin Liu, Kai Yang, Fanli Zhou, Yongxiang Liu, Hao Chen, Yijia Zhang, Dengdong Fan, Wenbo Li, Bingqiang Wang, Shixun Zhang, Pengxiang Xu, Yonghong Tian ยท 2026

The rapid advancement of deep learning is reshaping the hardware design landscape toward AI tasks, posing fundamental challenges for HPC workloads such as atomistic simulation. Here we present SMC-AI,โ€ฆ

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Decoding multiway gravitational junctions in AdS in terms of holographic quantum maps

Avik Chakraborty, Tanay Kibe, Martin Molina, Ayan Mukhopadhyay, Giuseppe Policastro ยท 2026

It has been shown that multiway junctions gluing $n$ copies of locally AdS$_3$ spacetimes ($n\geq 2$) can be described by $n-1$ strings obeying non-linear Nambu-Goto equations coupled by Monge-Amp\`{eโ€ฆ

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Towards viable H$_2$ storage in Ca decorated low-dimensional materials with insights from reference quantum Monte Carlo

Yasmine S. Al-Hamdani, Dario Alfe, Andrea Zen ยท 2026

Hydrogen technology is set to be a key energy alternative for mitigating pollution and reducing CO$_2$ emissions. However, the current storage mechanism of hydrogen molecules in carbon fibre tanks detโ€ฆ

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Monte Carlo Simulations of Suprathermal Enhancement in Advanced Nuclear Fusion Fuels

Marcus Borscz, Thomas A. Mehlhorn, Patrick A. Burr, Igor Morozov, Sergey Pikuz ยท 2026

Suprathermal fusion reactions, initiated by energetic particles slowing down and scattering in dense plasmas, can modify the burn dynamics at inertial confinement fusion (ICF) regimes. A 0D time-depenโ€ฆ

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Monte-Carlo Event Generation for X-Ray Thomson Scattering Analysis

Uwe Hernandez Acosta, Thomas Gawne, Jan Vorberger, Hannah Bellenbaum, Anton Reinhard, Simeon Ehrig, Klaus Steiniger, Michael Bussmann, Tobias Dornheim ยท 2026

A key diagnostic in warm-dense matter (WDM) experiments is X-ray Thomson scattering (XRTS), but its interpretation is often limited by complex instrument effects and the high computationally expensiveโ€ฆ

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Monte Carlo Event Generation with Continuous Normalizing Flows

Enrico Bothmann, Timo Jan{ss}en, Max Knobbe, Bernhard Schmitzer, Fabian Sinz ยท 2026

We apply Continuous Normalizing Flows trained with the Flow Matching method to the problem of phase-space sampling in Monte Carlo event generation for high-energy collider physics. Focusing on lepton-โ€ฆ

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