| Discovering governing equations from partial measurements with deep delay autoencoders J Bakarji, K Champion, JN Kutz, SL Brunton Proceedings of the Royal Society A, 2023, 2023 | 88 | 2023 |
| Data-driven discovery of coarse-grained equations J Bakarji, DM Tartakovsky Journal of Computational Physics 434, 110219, 2021 | 42 | 2021 |
| Dimensionally consistent learning with Buckingham Pi J Bakarji, J Callaham, SL Brunton, JN Kutz Nature Computational Science 2 (12), 834-844, 2022 | 36 | 2022 |
| Agent-based socio-hydrological hybrid modeling for water resource management J Bakarji, D O’Malley, VV Vesselinov Water Resources Management 31, 3881-3898, 2017 | 30 | 2017 |
| Microstructural heterogeneity drives reaction initiation in granular materials J Bakarji, DM Tartakovsky Applied Physics Letters 114 (25), 2019 | 7 | 2019 |
| On the use of reverse Brownian motion to accelerate hybrid simulations J Bakarji, DM Tartakovsky Journal of Computational Physics 334, 68-80, 2017 | 7 | 2017 |
| Stochastic pore collapse models in granular materials J Bakarji, DM Tartakovsky arXiv preprint arXiv:2002.12479, 2020 | 3 | 2020 |
| When was it written? J Bakarji, D Belivanis, S Nezami JOURNAL OF MACHINE LEARNING CS229, 2017 | 2 | 2017 |
| A reduced-order model of a microfluidic transistor J Bakarji, K Keniar, M Cheikh, I Lakkis ASME International Mechanical Engineering Congress and Exposition 56390 …, 2013 | 2 | 2013 |
| Stochastic Multiscale Modeling of Complex Materials J Bakarji Stanford University, 2020 | 1 | 2020 |
| Statistical Mechanics of Dynamical System Identification AA Klishin, J Bakarji, JN Kutz, K Manohar arXiv preprint arXiv:2403.01723, 2024 | | 2024 |
| Distilling data into code J Bakarji Nature Computational Science 4 (2), 92-93, 2024 | | 2024 |
| Role of physics in physics-informed machine learning A Chandra, J Bakarji, DM Tartakovsky Journal of Machine Learning for Modeling and Computing 5 (1), 2024 | | 2024 |
| Unsupervised Learning of Dimensionless Groups and Minimally Parametrized Equations J Bakarji, S Brunton, N Kutz, J Callaham APS Division of Fluid Dynamics Meeting Abstracts, A31. 003, 2021 | | 2021 |
| Machine Learning for a Music Glove Instrument J Bakarji arXiv preprint arXiv:2001.09551, 2020 | | 2020 |
| Multiscale Simulations of Reactive Transport DM Tartakovsky, J Bakarji AGU Fall Meeting Abstracts 2014, H31N-01, 2014 | | 2014 |
Daniel M. TartakovskyStanford University在 stanford.edu 的电子邮件经过验证
