Dispersion-optimized quadrature rules for isogeometric analysis: modified inner products, their dispersion properties, and optimally blended schemes. - Vladimir Puzyrev; Quanling Deng; Victor M. Calo (CoRR, 2016)

A Parallel Tool for Numerical Approximation of 3D Electromagnetic Surveys in Geophysics. - Octavio Castillo Reyes; Josep de la Puente; David Modesto; Vladimir Puzyrev; José María Cela (Computación y Sistemas, 2016)

Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems. - Vladimir Puzyrev; Seid Koric; Scott Wilkin (Comput. Geosci., 2016)

Quadrature blending for isogeometric analysis. - Victor M. Calo; Quanling Deng; Vladimir Puzyrev (ICCS, 2017)

Deep learning electromagnetic inversion with convolutional neural networks. - Vladimir Puzyrev (CoRR, 2018)

Deep convolutional autoencoder for cryptocurrency market analysis. - Vladimir Puzyrev (CoRR, 2019)

Dispersion optimized quadratures for isogeometric analysis. - Victor M. Calo; Quanling Deng; Vladimir Puzyrev (J. Comput. Appl. Math., 2019)

Isogeometric spectral approximation for elliptic differential operators. - Quanling Deng; Vladimir Puzyrev; Victor M. Calo (J. Comput. Sci., 2019)

pyROM: A computational framework for reduced order modeling. - Vladimir Puzyrev; Mehdi Ghommem; Shiv Meka (J. Comput. Sci., 2019)

Unsupervised seismic facies classification using deep convolutional autoencoder. - Vladimir Puzyrev; Chris Elders (CoRR, 2020)

Efficient mass and stiffness matrix assembly via weighted Gaussian quadrature rules for B-splines. - Michael Barton; Vladimir Puzyrev; Quanling Deng; Victor M. Calo (J. Comput. Appl. Math., 2020)

Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks. - Vladimir Puzyrev; Andrei Swidinsky (Comput. Geosci., 2021)

AnalyZr: A Python application for zircon grain image segmentation and shape analysis. - Taryn Scharf; Christopher L. Kirkland; Matthew L. Daggitt; Milo Barham; Vladimir Puzyrev (Comput. Geosci., 2022)

Deep semi-supervised learning using generative adversarial networks for automated seismic facies classification of mass transport complex. - Rachel Xu; Vladimir Puzyrev; Chris Elders; Ebrahim Fathi Salmi; Ewan Sellers (Comput. Geosci., 2023)

Deep Learning for Nonlinear Characterization of Electrostatic Vibrating Beam MEMS. - Basil Alattar; Mehdi Ghommem; Vladimir Puzyrev (Int. J. Bifurc. Chaos, 2023)