| Coarse-scale PDEs from fine-scale observations via machine learning S Lee, M Kooshkbaghi, K Spiliotis, CI Siettos, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (1), 2020 | 78 | 2020 |
| Entropy production analysis for mechanism reduction M Kooshkbaghi, CE Frouzakis, K Boulouchos, IV Karlin Combustion and flame 161 (6), 1507-1515, 2014 | 51 | 2014 |
| MAVE-NN: learning genotype-phenotype maps from multiplex assays of variant effect A Tareen, M Kooshkbaghi, A Posfai, WT Ireland, DM McCandlish, ... Genome Biology 23 (1), 1-27, 2022 | 46* | 2022 |
| Manifold learning for parameter reduction A Holiday, M Kooshkbaghi, JM Bello-Rivas, CW Gear, A Zagaris, ... Journal of computational physics 392, 419-431, 2019 | 44 | 2019 |
| n-Heptane/air combustion in perfectly stirred reactors: Dynamics, bifurcations and dominant reactions at critical conditions M Kooshkbaghi, CE Frouzakis, K Boulouchos, IV Karlin Combustion and Flame 162 (9), 3166-3179, 2015 | 40 | 2015 |
| Emergent spaces for coupled oscillators TN Thiem, M Kooshkbaghi, T Bertalan, CR Laing, IG Kevrekidis Frontiers in computational neuroscience 14, 36, 2020 | 25 | 2020 |
| Novel tool to quantify with single-cell resolution the number of incoming AAV genomes co-expressed in the mouse nervous system CJ Maturana, JL Verpeut, M Kooshkbaghi, EA Engel Gene therapy 30 (5), 463-468, 2023 | 19 | 2023 |
| The global relaxation redistribution method for reduction of combustion kinetics M Kooshkbaghi, CE Frouzakis, E Chiavazzo, K Boulouchos, IV Karlin The Journal of chemical physics 141 (4), 2014 | 16 | 2014 |
| Spectral quasi-equilibrium manifold for chemical kinetics M Kooshkbaghi, CE Frouzakis, K Boulouchos, IV Karlin The Journal of Physical Chemistry A 120 (20), 3406-3413, 2016 | 14 | 2016 |
| A collocated grid, projection method for time‐accurate calculation of low‐Mach number variable density flows in general curvilinear coordinates M Kooshkbaghi, B Lessani International journal for numerical methods in fluids 72 (3), 301-319, 2013 | 13 | 2013 |
| Machine-learning-based data-driven discovery of nonlinear phase-field dynamics E Kiyani, S Silber, M Kooshkbaghi, M Karttunen Physical Review E 106 (6), 065303, 2022 | 12 | 2022 |
| On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non) identifiability N Evangelou, NJ Wichrowski, GA Kevrekidis, F Dietrich, M Kooshkbaghi, ... PNAS nexus 1 (4), pgac154, 2022 | 11* | 2022 |
| Specificity, synergy, and mechanisms of splice-modifying drugs Y Ishigami, MS Wong, C Martí-Gómez, A Ayaz, M Kooshkbaghi, ... Nature Communications 15 (1), 1880, 2024 | 9* | 2024 |
| Numerical simulation of atomic layer deposition for thin deposit formation in a mesoporous substrate L Zhuang, P Corkery, DT Lee, S Lee, M Kooshkbaghi, Z Xu, G Dai, ... AIChE Journal 67 (8), e17305, 2021 | 9 | 2021 |
| Manifold learning for organizing unstructured sets of process observations F Dietrich, M Kooshkbaghi, EM Bollt, IG Kevrekidis Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (4), 2020 | 9 | 2020 |
| Structural and mechanistic basis of σ-dependent transcriptional pausing C Pukhrambam, V Molodtsov, M Kooshkbaghi, A Tareen, H Vu, ... Proceedings of the National Academy of Sciences 119 (23), e2201301119, 2022 | 7 | 2022 |
| Generalized entropy production analysis for mechanism reduction L Acampora, M Kooshkbaghi, CE Frouzakis, FS Marra Combustion Theory and Modelling 23 (2), 197-209, 2019 | 7 | 2019 |
| A similarity solution in order to solve the governing equations of laminar separated fluids with a flat plate H Shokouhmand, MF Pakdaman, M Kooshkbaghi Communications in Nonlinear Science and Numerical Simulation 15 (12), 3965-3973, 2010 | 7 | 2010 |
| Non-perturbative hydrodynamic limits: A case study IV Karlin, SS Chikatamarla, M Kooshkbaghi Physica A: Statistical Mechanics and its Applications 403, 189-194, 2014 | 3 | 2014 |
| Periodicity scoring of time series encodes dynamical behavior of the tumor suppressor p53 C Moosmüller, CJ Tralie, M Kooshkbaghi, Z Belkhatir, M Pouryahya, ... IFAC-PapersOnLine 54 (9), 488-495, 2021 | 2 | 2021 |
Ioannis KevrekidisProfessor, Chemical Engineering & Applied Mathematics在 jhu.edu 的电子邮件经过验证
