| Philenosis

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.