Zobrazeno 1 - 10
of 21 089
pro vyhledávání: '"Carmo, P."'
A method for measuring the electrical connectivity between parts of a rectangular superconductor was developed for weak links making an arbitrary angle with the long side of the sample. The method is based on magneto-optical observation of characteri
Externí odkaz:
http://arxiv.org/abs/2411.08649
Autor:
Terin, Rodrigo Carmo
We propose a detailed analysis of datasets generated from simulations of two-dimensional quantum spin systems using the quantum Ising model at absolute zero temperature. Our focus is on examining how fundamental physical properties, energy, magnetiza
Externí odkaz:
http://arxiv.org/abs/2411.07701
Autor:
Terin, Rodrigo Carmo
We employ physics-informed neural networks (PINNs) to solve fundamental Dyson-Schwinger integral equations in the theory of quantum electrodynamics (QED) in Euclidean space. Our approach uses neural networks to approximate the fermion wave function r
Externí odkaz:
http://arxiv.org/abs/2411.02177
Autor:
Lopes, Rovan F., Tumelero, Milton A., de Araujo, Clodoaldo I. L., de Andrade, Antonio M. H., Mesquita, Fabiano, Carmo, Danusa, Colauto, F., Ortiz, W. A., Pureur, P.
The magnetic textures generated by a perpendicularly applied magnetic field at the ferromagnetic layer of $Co/Al_{2}O_{3}/Nb$ thin film heterostructures are investigated using magneto-optical imaging and micromagnetic simulations. It is observed that
Externí odkaz:
http://arxiv.org/abs/2410.18028
In this article, we present the mathematical analysis of the convergence of the linearized Crank-Nicolson Galerkin method for a nonlinear Schrodinger problem related to a domain with a moving boundary. The convergence analysis of the numerical method
Externí odkaz:
http://arxiv.org/abs/2410.08910
This paper investigates whether large language models (LLMs) are state-of-the-art quality estimators for machine translation of user-generated content (UGC) that contains emotional expressions, without the use of reference translations. To achieve th
Externí odkaz:
http://arxiv.org/abs/2410.06338
Autor:
Carmo, Félix do, Kanojia, Diptesh
The tutorial describes the concept of edit distances applied to research and commercial contexts. We use Translation Edit Rate (TER), Levenshtein, Damerau-Levenshtein, Longest Common Subsequence and $n$-gram distances to demonstrate the frailty of st
Externí odkaz:
http://arxiv.org/abs/2410.05881
Machine translation (MT) of user-generated content (UGC) poses unique challenges, including handling slang, emotion, and literary devices like irony and sarcasm. Evaluating the quality of these translations is challenging as current metrics do not fo
Externí odkaz:
http://arxiv.org/abs/2410.03277
Autor:
Carmo, Marciano Palma do, Mack, David, Roth, Diane J., Zhao, Miao, Devis, Ancin M., Rodríguez-Fortuño, Francisco J., Maier, Stefan A., Huidobro, Paloma A., Rakovich, Aliaksandra
Controlled long-range transport of micro- and nano-scale objects is a key requirement in lab-on-a-chip and microfluidic applications, enabling the efficient capture, concentration, manipulation, and detection of analytes. Traditional methods such as
Externí odkaz:
http://arxiv.org/abs/2408.00515
The use of machine learning algorithms to investigate phase transitions in physical systems is a valuable way to better understand the characteristics of these systems. Neural networks have been used to extract information of phases and phase transit
Externí odkaz:
http://arxiv.org/abs/2404.15118