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Sökning: WFRF:(Araujo Alessandra)

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1.
  • Santos, Reginaldo, et al. (författare)
  • Binder Identification Using Pattern Recognition on Phantom Measurements
  • 2016
  • Ingår i: IEEE Transactions on Instrumentation and Measurement. - 0018-9456. ; 65:3, s. 522-534
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper proposes an automatic method for the identification of twisted pairs (TPs) sharing the same binder, based on the analysis of phantom circuit measurements. This type of circuit is often used for improving data transmission rates in communication systems, but in this paper, phantoming is used to reveal if a four-wire loop composed of two TPs is close enough and well balanced in order to be considered in the same binder. The method uses four features extracted from scattering parameter measures in phantom-mode between two TPs. These features are related to the presence of periodicities and impedance mismatch between the measurement device and the four-wire transmission line. The identification is done via application of two pattern recognition techniques, support vector machines and K-means, on scattering parameter obtained from the phantom-mode measurement of two TPs. This paper also describes a method to determine the length of the two TPs that share the same binder. Laboratory results confirm the accuracy of the proposed methods.
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2.
  • Zhang, Chao, et al. (författare)
  • 2023 Roadmap on molecular modelling of electrochemical energy materials
  • 2023
  • Ingår i: Journal of Physics. - : Institute of Physics Publishing (IOPP). - 2515-7655. ; 5:4
  • Tidskriftsartikel (refereegranskat)abstract
    • New materials for electrochemical energy storage and conversion are the key to the electrification and sustainable development of our modern societies. Molecular modelling based on the principles of quantum mechanics and statistical mechanics as well as empowered by machine learning techniques can help us to understand, control and design electrochemical energy materials at atomistic precision. Therefore, this roadmap, which is a collection of authoritative opinions, serves as a gateway for both the experts and the beginners to have a quick overview of the current status and corresponding challenges in molecular modelling of electrochemical energy materials for batteries, supercapacitors, CO2 reduction reaction, and fuel cell applications.
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