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Physical Review Letters|August 29, 2014
Cross-correlation function for accurate reconstruction of heterogeneous mediaPejman Tahmasebi, Muhammad SahimiPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Reconstruction of three-dimensional porous media using a single thin sectionPejman Tahmasebi, Muhammad SahimiPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 15, 2015
Reconstruction of nonstationary disordered materials and media: Watershed transform and cross-correlation functionPejman Tahmasebi, Muhammad SahimiNeural Networks : the Official Journal of the International Neural Network Society|July 22, 2019
Enhancing images of shale formations by a hybrid stochastic and deep learning algorithmServeh Kamrava, Pejman Tahmasebi, Muhammad SahimiScientific Reports|November 13, 2015
Multiscale and multiresolution modeling of shales and their flow and morphological propertiesPejman Tahmasebi, Farzam Javadpour, Muhammad SahimiPhysical Review. E|May 20, 2020
Quantifying accuracy of stochastic methods of reconstructing complex materials by deep learningServeh Kamrava, Muhammad Sahimi, Pejman TahmasebiPhysical Review. E|August 16, 2020
Phase transitions, percolation, fracture of materials, and deep learningServeh Kamrava, Pejman Tahmasebi, Muhammad Sahimi, et al.Physical Review. E|November 16, 2021
Retraction: Phase transitions, percolation, fracture of materials, and deep learning [Phys. Rev. E 102, 011001(R) (2020)]Serveh Kamrava, Pejman Tahmasebi, Muhammad Sahimi, et al.Physical Review. E|November 18, 2025
Latent diffusion modeling of porous media informed by spatial statisticsPejman TahmasebiPhysical Review. E|March 18, 2018
Accurate modeling and evaluation of microstructures in complex materialsPejman TahmasebiPageof 11