10.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade de São PauloBR795 papers
- Universidade Federal do Rio de JaneiroBR793 papers
- Boston UniversityUS774 papers
- Brookhaven National LaboratoryUS774 papers
- Ludwig-Maximilians-Universität MünchenDE774 papers
- Queen Mary University of LondonGB774 papers
- The University of Texas at ArlingtonUS774 papers
- University of GenevaCH774 papers
- University of OklahomaUS774 papers
- University of OxfordGB774 papers
- University of Science and Technology of ChinaCN774 papers
- AGH University of KrakowPL773 papers
5 papers · 1 filter
Metric-Induced Principal Symbols in Nonlinear Electrodynamics
Érico Goulart, Eduardo Bittencourt
We present a geometrical formulation of nonlinear electrodynamics by expressing its principal symbol as an optical metric-induced object. Under the assumption of no birefringence,…
Propagation features of Lorentz-violating electrodynamics
E. Goulart, J. E. Ottoni, J. C. C. Felipe
This paper explores some propagation features of electrodynamics in a Lorentz-violating scenario, focusing on a specific CPT-even term within the photon sector of the Standard Mode…
CTDGSI: A comprehensive exploitation of instance selection methods for automatic text classification. VII Concurso de Teses, Dissertações e Trabalhos de Graduação em SI -- XXI Simpósio Brasileiro de Sistemas de Informação
Washington Cunha, Leonardo Rocha, Marcos André Gonçalves
Progress in Natural Language Processing (NLP) has been dictated by the rule of more: more data, more computing power and more complexity, best exemplified by the Large Language Mod…
Ambiguities in the generation of CFJ-terms in a QED with dimension-5 operators in one loop
H. G. Fargnoli, J. C. C. Felipe, G. Gazzola
In this paper, we investigate a Lorentz symmetry breaking extension of Quantum Electrodynamics (QED), incorporating 5-dimensional CPT-odd terms at the one-loop level. Employing an…
A Framework for Building Enviromics Matrices in Mixed Models
B. A. Trevisan, V. S. Junqueira, B. M. Florencio +3
This study introduces a framework for constructing enviromics matrices in mixed models to integrate genetic and environmental data to enhance phenotypic predictions in plant breedi…