Results 91 to 100 of about 846,838 (328)
The fixed target experiment for studies of baryonic matter at the Nuclotron (BM@N)
BM@N (Baryonic Matter at Nuclotron) is the first experiment to be realized at the accelerator complex of NICA-Nuclotron. The aim of the BM@N experiment is to study interactions of relativistic heavy ion beams with fixed targets.
Kapishin Mikhail
doaj +1 more source
NeuroMCT: Fast Monte Carlo Tuning with Generative Machine Learning in the JUNO Experiment [PDF]
The Jiangmen Underground Neutrino Observatory (JUNO) is a neutrino experiment located in China with a wide physics program. The main goals of JUNO are to determine the neutrino mass ordering and to perform highprecision measurements of neutrino ...
Gavrikov Arsenii, Serafini Andrea
doaj +1 more source
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird +8 more
wiley +1 more source
Monte Carlo simulation of an experiment looking for radiative solar neutrino decays
We analyse the possibility of detecting visible photons from a hypothetical radiative decay of solar neutrinos. Our study is focused on the simulation of such measurements during total solar eclipses and it is based on the BP2000 Standard Solar Model and
Ahmad +20 more
core +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Combining Bootstrap Methods: A Monte Carlo Experiment
The idea of this work is to study whether the combination of different bootstrap methods can lead to an improvement in the performance, as it does in the forecasting framework where is widely used. Given that it represents a rather challenging set-up, we will focus on long memory time series and we will explore the combination of three very well-known ...
Margherita Gerolimetto, Luisa Bisaglia
openaire +2 more sources
Scalable Thermal Engineering via Femtosecond Laser‐Direct‐Written Phononic Nanostructures
This study demonstrates that femtosecond laser‐induced periodic surface structures (fs‐LIPSS) can function as phononic metasurfaces, reducing thermal conductivity below the plain thin‐film limit. Phonon Monte Carlo analysis reveals that the periodic structures restrict phonon mean free paths.
Hiroki Hamma +4 more
wiley +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Degradable Polyphosphoester (PPE) gradient copolymers (GCPs) are synthesized via one‐pot copolymerization. We show that GCPs self‐assemble into nanostructures like polymersomes, effectively mimicking the behavior of traditional BCPs. The gradient strength is key, with softer gradients favoring micelles.
Suna Azhdari +7 more
wiley +1 more source
Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani +4 more
wiley +1 more source

