Discovering Governing Equations from Partial Measurements with Deep Delay Autoencoders

Bakarji, J., Champion, K., Kutz, J. N., & Brunton, S. L. (2022). arXiv preprint arXiv:2201.05136

Dimensionally Consistent Learning with Buckingham Pi

Bakarji, J., Bakarji, J., Callaham, J., Brunton, S. L., & Kutz, J. N. (2022). arXiv preprint arXiv:2202.04643.

Data-Driven Discovery of Coarse-Grained Equations

Bakarji, J., & Tartakovsky, D. M. (2020). Journal of Computational Physics (2021): 110219.

Microstructural heterogeneity drives reaction initiation in granular materials

Bakarji, J., & Tartakovsky, D. M. (2019). Applied Physics Letters, 114(25), 254101.

On the use of reverse Brownian motion to accelerate hybrid simulations

Bakarji, J., & Tartakovsky, D. M. (2017). Journal of Computational Physics, 334, 68-80.

Agent-based socio-hydrological hybrid modeling for water resource management

Bakarji, J., O’Malley, D., & Vesselinov, V. V. (2017). Water Resources Management, 31(12), 3881-3898.

A reduced-order model of a microfluidic transistor

Bakarji, J., Keniar, K., Cheikh, M., & Lakkis, I. (2013). ASME (Vol. 56390, p. V010T11A025)

Stochastic Pore Collapse Models in Granular Materials.

Bakarji, J., & Tartakovsky, D. M. (2020). arXiv preprint arXiv:2002.12479.

Machine Learning for a Music Glove Instrument.

Bakarji, J. (2020). arXiv preprint arXiv:2001.09551.