Repositório do Conhecimento Institucional do Centro Universitário FEI
 

Departamento de Física

URI permanente desta comunidadehttps://repositorio.fei.edu.br/handle/FEI/785

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Resultados da Pesquisa

Agora exibindo 1 - 4 de 4
  • Artigo 2 Citação(ões) na Scopus
    Modeling of MOSFETs Altered by Ionizing Radiation Using Artificial Neural Networks
    (2023-08-05) SANTOS, L. S. A. DOS; ALLEGRO, P. R. P.; Marcilei Aparecida Guazzelli; GUIDI, A. L.; G. JUNIOR, P. R.; A. JUNIOR, V. S.; TOUFEN, D. L.; VILAS BOAS, A. C.
    © 2023, The Author(s) under exclusive licence to Sociedade Brasileira de Física.The ionizing radiation absorbed by semiconductor devices can change their properties by modifying their electrical parameters and, in the case of memories, it can modify the information contained in these components. Thus, the ability to predict how ionizing radiation affects electronic circuits becomes especially important in environments where there is the possibility of prolonged exposure to intense radiation, such as satellites, nuclear reactors, particle accelerators, and medical equipment, among others. In this sense, this paper proposes a methodology to reproduce the behavior of TID (total ionizing dose) damaged MOSFET transistors using the fully connected artificial neural networks, taking advantage of its universal estimator characteristics to oversample the dataset’s pattern and give it a better resolution. The dataset complexity requires a specific architecture choice, being necessary the use of two neural network models to separately reproduce the MOSFET electric current magnitude order and its curve shape. Results show a very good capability to reproduce and interpolate the MOSFET behavior, which makes the proposed method a promising way to simulate circuits based on MOSFETs that are exposed to ionizing radiation.
  • Artigo 7 Citação(ões) na Scopus
    Unsupervised machine learning application to identify single-event transients (SETs) from noise events in MOSFET transistor ionizing radiation effects
    (2023) ALLEGRO, P. R. P.; TOUFEN, D. L.; AGUIAR, V. A. P.; SANTOS, L. S. A.; OLIVEIRA W. N.; ADDED, N.; MEDINA, N. H.; MACCHIONE, E. L. A.; ALBERTON , S. G.; Marcilei Aparecida Guazzelli; MELO, M. A. A.; OLIVEIRA, J. A.
    © 2023This article presents a novel application of the k-means unsupervised machine learning algorithm to the problem of identifying single event transient (SET) events from noise during heavy-ion irradiation experiments of an electronic device. We explore the performance of the k-means algorithm by analyzing experimental datasets of SET events produced by several heavy-ions irradiations of a MOSFET transistor. Data anomalies and effectiveness of the chosen features (mean, standard deviation, skewness, and kurtosis) were investigated using the Isolation Forest and Random Forest algorithms, respectively. The results show a high capability of the K-means algorithm to identify SET events from noise using the first four statistical moments as features, allowing in the future the use of this method for in situ event detection and diagnosis without previous algorithm training or pre-analysis of the experimental data.
  • Artigo de evento 12 Citação(ões) na Scopus
    X-ray radiation effects in overlapping circular-gate MOSFET's
    (2011-09-23) DE LIMA, J. A.; Marcilei Aparecida Guazzelli; CIRNE, K. H.; Roberto Santos; MEDINA, N. H.
    IV-characteristics from ELT Overlapping Circular-Gate Transistors (O-CGT's) and rectangular-gate transistors are cross-checked after X-ray exposure. No degradation on O-CGT subthreshold behavior observed for doses up to 2.3 Grad. Devices were prototyped on standard 0.35 μm CMOS process. © 2011 IEEE.
  • Artigo de evento 13 Citação(ões) na Scopus
    Performance of electronic devices submitted to X-rays and high energy proton beams
    (2012) Silveira M.A.G.; Cirne K.H.; Santos R.B.B.; Gimenez S.P.; Medina N.H.; Added N.; Tabacniks M.H.; Barbosa M.D.L.; Seixas L.E.; Melo W.; De Lima J.A.
    In this work we have studied the radiation effects on MOSFET electronic devices. The integrated circuits were exposed to 10 keV X-ray radiation and 2.6 MeV energy proton beam. We have irradiated MOSFET devices with two different geometries: rectangular-gate transistor and circular-gate transistor. We have observed the cumulative dose provokes shifts on the threshold voltage and increases or decreases the transistor's off-state and leakage current. The position of the trapped charges in modern CMOS technology devices depends on radiation type, dose rate, total dose, applied bias and is a function of device geometry. We concluded the circular-gate transistor is more tolerant to radiation than the rectangular-gate transistor. © 2011 Elsevier B.V. All rights reserved.