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Mahdi Kooshkbaghi
Mahdi Kooshkbaghi
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Verified email at cshl.edu - Homepage
Title
Cited by
Cited by
Year
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
752020
Entropy production analysis for mechanism reduction
M Kooshkbaghi, CE Frouzakis, K Boulouchos, IV Karlin
Combustion and flame 161 (6), 1507-1515, 2014
512014
Manifold learning for parameter reduction
A Holiday, M Kooshkbaghi, JM Bello-Rivas, CW Gear, A Zagaris, ...
Journal of computational physics 392, 419-431, 2019
412019
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
40*2022
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
402015
Emergent spaces for coupled oscillators
TN Thiem, M Kooshkbaghi, T Bertalan, CR Laing, IG Kevrekidis
Frontiers in computational neuroscience 14, 36, 2020
252020
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
172023
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
162014
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
132013
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
122016
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
92022
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
82021
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
82020
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
7*2024
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
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
72019
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
72010
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
52022
Non-perturbative hydrodynamic limits: A case study
IV Karlin, SS Chikatamarla, M Kooshkbaghi
Physica A: Statistical Mechanics and its Applications 403, 189-194, 2014
32014
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
22021
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Articles 1–20