Real-time hydraulic fracturing pressure prediction with machine learning Y Ben, M Perrotte, M Ezzatabadipour, I Ali, S Sankaran, C Harlin, D Cao SPE Hydraulic Fracturing Technology Conference and Exhibition, D031S008R003, 2020 | 51 | 2020 |
Deep learning as a tool to predict flow patterns in two-phase flow M Ezzatabadipour, P Singh, MD Robinson, P Guillén-Rondon, C Torres arXiv preprint arXiv:1705.07117, 2017 | 23 | 2017 |
Exact results for the extreme Thouless effect in a model of network dynamics RKP Zia, W Zhang, M Ezzatabadipour, KE Bassler Europhysics Letters 124 (6), 60008, 2019 | 2 | 2019 |
The role of hydrodynamic interactions in the rate of protein folding M Ezzatabadipour, F Zegarra, M Cheung Biophysical Journal 110 (3), 211a, 2016 | 2 | 2016 |
Fluctuations and Correlations in a Model of Extreme Introverts and Extroverts M Ezzatabadipour, W Zhang, KE Bassler, RKP Zia arXiv preprint arXiv:1910.00141, 2019 | 1 | 2019 |
Non-Equilibrium Statistical Mechanics of a Mixed Order Phase Transition in a Dynamical Network Model M Ezzatabadipour University of Houston, 2019 | 1 | 2019 |
Understanding the extreme Thouless effect in a simple, dynamic social network-the XIE model R Zia, W Zhang, M Ezzatabadipour, K Bassler APS March Meeting Abstracts 2019, E55. 010, 2019 | | 2019 |
Non-trivial Correlations in a Model of Extreme Introverts Extroverts M Ezzatabadipour, KE Bassler, RKP Zia APS March Meeting Abstracts 2017, L5. 013, 2017 | | 2017 |
The Combined Effect of Macromolecular Crowding and Chemical Interference on the Dynamics of Apoazurin Folding FC Zegarra, M Ezzatabadipour, D Homouz, MS Cheung Biophysical Journal 110 (3), 211a, 2016 | | 2016 |