Scholarly Works per year
Scholarly Works per year
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Dive into the research topics where Moysey Brio is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Localized eigenvectors on metric graphs
Kravitz, H., Brio, M. & Caputo, J. G., Dec 2023, In: Mathematics and Computers in Simulation. 214, p. 352-372 21 p.Research output: Contribution to journal › Article › peer-review
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An Unstructured Mesh Transformation FDTD Method for the TM Mode Equations
Denny, B., Albornoz-Basto, A. & Brio, M., 2022, 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1112-1113 2 p. (2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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FDTD Method With Explicit Non-Iterative and Second Order Treatment for Kerr Nonlinearities
Liu, J., Cornelius, J. & Brio, M., 2022, (Accepted/In press) In: IEEE Journal on Multiscale and Multiphysics Computational Techniques. p. 1-5 5 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Spectral solutions of PDEs on networks
Brio, M., Caputo, J. G. & Kravitz, H., Feb 2022, In: Applied Numerical Mathematics. 172, p. 99-117 19 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O., Brio, M. & Bailey, J., 2021, In: Journal of Algorithms and Computational Technology. 15Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations
Datasets
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Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.c.5357908.v1, https://sage.figshare.com/collections/Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/5357908/1
Dataset
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sj-zip-1-act-10.1177_1748302621999621 - Supplemental material for Optimal parameter selection in Weeks’ method for numerical Laplace transform inversion based on machine learning
Kano, P. O. (Creator), Brio, M. (Contributor) & Bailey, J. (Creator), SAGE Journals, 2021
DOI: 10.25384/sage.14337082.v1, https://sage.figshare.com/articles/dataset/sj-zip-1-act-10_1177_1748302621999621_-_Supplemental_material_for_Optimal_parameter_selection_in_Weeks_method_for_numerical_Laplace_transform_inversion_based_on_machine_learning/14337082/1
Dataset