Results 91 to 100 of about 190,009 (312)
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Quantum spread complexity in neutrino oscillations
Quantum information theory has recently emerged as a flourishing area of research and quantum complexity, one of its powerful measures, is being applied for investigating complex systems in many areas of physics.
Khushboo Dixit +2 more
doaj +1 more source
Parity-violating electron scattering and nucleon structure [PDF]
The measurement of parity violation in the helicity dependence of electron-nucleon scattering provides unique information about the basic quark structure of the nucleons. This review presents the general formalism of parity-violating electron scattering,
Beck, D. H., McKeown, R. D.
core
Strangeness on the nucleon [PDF]
Observables from parity violation in elastic electron-nucleon scattering and neutral current quasi-elastic neutrino-nucleus scattering are employed as tools to improve the current knowledge on the strangeness content in the nucleon.Comment: Proceedings ...
Caballero, J. A., González-Jiménez, R.
core +2 more sources
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Side-channel analysis of a learning parity with physical noise processor
Learning parity with physical noise (LPPN) has been proposed as an assumption on which to build authentication protocols based on the learning parity with noise (LPN) problem. Its first advantage is to reduce the randomness requirements of standard LPN-based protocols, by directly performing erroneous computations so that no (e.g. Bernoulli-distributed)
Dina Kamel +3 more
openaire +2 more sources
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
Ultracold High-Spin Σ-State Polar Molecules for New Physics Searches
We propose high-spin Σ-state polar molecules assembled from ultracold atoms to probe charge-parity-violating physics beyond the standard model. We identify YbCr as a prime candidate to search for the electric dipole moment of the electron.
Alessio Ciamei +3 more
doaj +1 more source
We construct the effective Hamiltonian for hadronic parity violation in strangeness-nonchanging (ΔS=0) processes in next-to-leading order (NLO) in QCD, for all isosectors, and at a renormalization scale of 2GeV, thus extending our earlier leading-order ...
Girish Muralidhara, Susan Gardner
doaj +1 more source
Parity-violating asymmetry and dipole polarizabilities in atomic nuclei: How do they reconcile with each other? [PDF]
In the recent years, considerable attention has been paid to the measurement of the dipole polarizability and parity violating asymmetry in medium and heavy mass nuclei such as 48Ca and 208Pb [1–4].
Roca-Maza Xavier
doaj +1 more source

