Results 111 to 120 of about 189,131 (288)

Beyond the Standard Model at HERA [PDF]

open access: yes, 1999
The prospects of physics beyond the standard model in deep inelastic scattering are reviewed, emphasizing the search for contact interactions, for leptoquarks and for supersymmetry with R-parity violation.
Spiesberger, H.
core   +1 more source

Kelvin-Helmholtz instability is the result of parity-time symmetry breaking

open access: yes, 2018
Parity-Time (PT)-symmetry is being actively investigated as a fundamental property of observables in quantum physics. We show that the governing equations of the classical two-fluid interaction and the incompressible fluid system are PT-symmetric, and ...
Glasser, Alexander S.   +3 more
core   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

open access: yesAdvanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira   +13 more
wiley   +1 more source

Two-photon decay enhanced even photon bundle emission

open access: yesPhysical Review Research
Multiquanta emission holds significant value for quantum computing and quantum information processing. In this study, we aim to enhance multiphoton bundle emission by introducing two-photon decay into cavity quantum electrodynamics systems.
Biao Xiong   +4 more
doaj   +1 more source

Multi-Terabyte EIDE Disk Arrays running Linux RAID5

open access: yes, 2004
High-energy physics experiments are currently recording large amounts of data and in a few years will be recording prodigious quantities of data. New methods must be developed to handle this data and make analysis at universities possible. Grid Computing
Cremaldi, L. M.   +6 more
core   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Probing the R-parity violating supersymmetric effects in the exclusive c→d/sℓ+νℓ decays

open access: yesNuclear Physics B, 2015
A lot of branching ratios of the exclusive c→d/sℓ+νℓ (ℓ=e,μ) decays have been quite accurately measured by CLEO-c, BELLE, BABAR, BES(I, II, III), ALEPH and MARKIII Collaborations.
Ru-Min Wang   +4 more
doaj   +1 more source

On The Physical Parity Transformation And Antiparticles

open access: yes, 2017
It was argued a long time ago by T.D. Lee and G.C. Wick that there is a basis where the usual CP (charge-parity) transformation becomes a parity transformation. Indeed, at the quantum level all fields are real representations of the group of symmetries, because CP (charge-parity) is a linear transformation.
openaire   +1 more source

The first dozen years of the history of ITEP Theoretical Physics Laboratory

open access: yes, 2012
The theoretical investigations at ITEP in the years 1945-1958 are reviewed. There are exposed the most important theoretical results, obtained in the following branches of physics: 1) the theory of nuclear reactors on thermal neutrons; 2) the hydrogen ...
A.A. Abrikosov   +71 more
core   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

open access: yesAdvanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo   +5 more
wiley   +1 more source

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