Results 61 to 70 of about 4,019 (185)
P2‐type sodium layered oxides have potential for high‐voltage operation but suffer from structural instability and capacity fading. This work demonstrates that synergistic Li and Ti co‐doping enhances sodium inventory, suppresses detrimental phase transitions, and activates reversible lattice oxygen redox.
Rishika Jakhar +16 more
wiley +1 more source
A linear PDF model for Bayesian inference
A robust uncertainty estimate in global analyses of Parton Distribution Functions (PDFs) is essential at the Large Hadron Collider (LHC), especially in view of the high-precision data anticipated by experimentalists in the High-Luminosity phase of the ...
Mark N. Costantini +3 more
doaj +1 more source
First computation of Mueller Tang processes using a full NLL BFKL approach
We present the full next-to-leading order (NLO) prediction for the jet-gap-jet cross section at the LHC within the BFKL approach. We implement, for the first time, the NLO impact factors in the calculation of the cross section.
Dimitri Colferai +3 more
doaj +1 more source
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Parton distributions in the shockwave formalism
In this work, we calculate a broad class of parton distributions — including parton distribution functions (PDFs), transverse-momentum-dependent distributions (TMDs), generalized parton distributions (GPDs), generalized transverse-momentum-dependent ...
Shohini Bhattacharya +4 more
doaj +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Small-x TMD distributions initial condition: N c -dependence and Gaussian approximations
We systematically derive expressions for ten small-x Transverse Momentum Dependent (TMD) distributions in the Gaussian approximation, three in the quark-gluon sector and seven in the gluon-gluon sector; for the general SU (N c ) gauge group.
Florian Cougoulic +2 more
doaj +1 more source
Semi-inclusive deep inelastic scattering off a tensor-polarized spin-1 target
We investigate the semi-inclusive deep inelastic scattering off a tensor-polarized spin-1 target, focusing on the production of an unpolarized hadron. The complete differential cross section is expressed in terms of 23 structure functions, which depend ...
Jing Zhao +4 more
doaj +1 more source
Momentum fraction and hard scale dependence of double parton scattering
The effective cross section of double parton scattering in high-energy hadron collisions has been measured in proton-proton collisions, with significant variation among final-state observables, contrary to the idea of a universal value. Building upon our
João Vitor C. Lovato +2 more
doaj +1 more source
AN INVESTIGATION OF THE SPIN STRUCTURE OF THE PROTON IN DEEP INELASTIC SCATTERING OF POLARIZED MUONS ON POLARIZED PROTONS [PDF]
Ashman J, Badelek B, Baum G, et al. An investigation of the spin structure of the proton in deep inelastic scattering of polarised muons on polarised protons. Nucl.Phys. B.
Düren, M. +285 more
core +1 more source

