The LHCb experiment at CERN has introduced a new simulation framework named Lamarr, which utilizes machine learning models to enhance the speed and efficiency of data simulation. This development is crucial as approximately 90% of the computing resources for the LHCb experiment have been dedicated to generating simulated data samples

Recent research by Sergio Pirozzoli and Davide Modesti has focused on the mean temperature profiles in turbulent internal flows, as detailed in their paper titled "Mean temperature profiles in turbulent internal flows" (arXiv:2403.17689). The authors derived explicit formulas for the mean temperature profiles, treating temperature as

A new theoretical framework has been proposed for assessing water fraction-dependent longitudinal decay rates and magnetization transfer in membrane lipid phantoms. This research, conducted by Heiko Neeb, Felix Schyboll, Rona Shaharabani, Aviv A. Mezer, and Oshrat Shtangel, focuses on the interaction between liposomes and surrounding water molecules, which is crucial

A new paper titled "H-Matrix Accelerated Direct Matrix Solver using Chebyshev-based Nyström Boundary Integral Equation Method" has been published by authors Jin Hu, Emrah Sever, Omid Babazadeh, Ian Jeffrey, Vladimir Okhmatovski, and Constantine Sideris. The paper presents an innovative approach to solving boundary integral equations, particularly for high

Recent research conducted by Barry P. Lawlor, Vatsa Gandhi, and Guruswami Ravichandran has provided new insights into the behavior of porous materials under shock loading. The paper, titled "Full-Field Quantitative Visualization of Shock-Driven Pore Collapse and Failure Modes in PMMA," explores how the collapse of pores in polymethyl

Recent research has explored the potential of using electroencephalogram (EEG) complexity to identify Attention-Deficit/Hyperactivity Disorder (ADHD). The study, titled "Identifying Attention-Deficit/Hyperactivity Disorder through the electroencephalogram complexity," was conducted by Dimitri Marques Abramov, Henrique Santos Lima, Vladimir Lazarev, Paulo Ricardo Galhanone, and Constantino Tsallis. It was submitted

Recent advancements in semiconductor manufacturing have been highlighted in a new paper titled "Differentiable Edge-based OPC" by Guojin Chen and colleagues. The authors propose a novel framework called DiffOPC, which integrates the strengths of edge-based optical proximity correction (OPC) and inverse lithography technology (ILT). This approach aims to

Recent research has focused on the atomization processes in cryogenic jet flames, particularly in rocket-type combustors. The study, titled "Droplet size and velocity measurements in a cryogenic jet flame of a rocket-type combustor using high speed imaging," authored by Nicolas Fdida, Lucien Vingert, Arnaud Ristori, and Yves Le

Recent advancements in the development of Jupyter widgets have been detailed in a paper titled "Jupyter widgets and extensions for education and research in computational physics and chemistry" by Dou Du, Taylor J. Baird, Kristjan Eimre, Sara Bonella, and Giovanni Pizzi. The paper, published on January 11, 2024,

Recent research by Sergio Pirozzoli and Davide Modesti has introduced explicit formulas for mean temperature profiles in turbulent internal flows, as detailed in their paper titled "Mean temperature profiles in turbulent internal flows" (arXiv:2403.17689). The authors focus on forced turbulent convection, modeling temperature as a passive

Recent research by Gábor Bíró, Gábor Papp, and Gergely Gábor Barnaföldi presents a novel approach to estimating event-by-event multiplicity in hadronization studies using machine learning techniques. The paper, titled "Estimating event-by-event multiplicity by a Machine Learning Method for Hadronization Studies," was submitted to arXiv on August 30, 2024,

Recent research has demonstrated significant advancements in the field of quantum physics through the study titled "Demonstration of strong coupling of a subradiant atom array to a cavity vacuum" by Bence Gábor and colleagues. This study explores the behavior of cold atoms arranged in an incommensurate lattice within

Recent research by Yufei Zhang, Ziyang Chen, and Hong Guo presents a theoretical model that establishes a technical lower bound for signal stability in time transfer systems without inline amplifiers. This study, titled "Gain-Bandwidth-Product-Induced Technical Bound in Time Transfer System without Inline Amplifiers," was submitted to arXiv on