Arsalan Taassob

Taassob, A., Kumar, A., Gitushi, K. M., Ranade, R., & Echekki, T. (2024). A PINN-DeepONet framework for extracting turbulent combustion closure from multiscalar measurements. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 429. https://doi.org/10.1016/j.cma.2024.117163

Rather, A. M., Vallabhuneni, S., Pyrch, A. J., Barrubeeah, M., Pillai, S., Taassob, A., … Kota, A. K. (2024). Color morphing surfaces with effective chemical shielding. NATURE COMMUNICATIONS, 15(1). https://doi.org/10.1038/s41467-024-48154-y

Wang, W., Vahabi, H., Taassob, A., Pillai, S., & Kota, A. K. (2024, January 17). On-Demand, Contact-Less and Loss-Less Droplet Manipulation via Contact Electrification. ADVANCED SCIENCE. https://doi.org/10.1002/advs.202308101

Taassob, A., & Echekki, T. (2023). Derived scalar statistics from multiscalar measurements via surrogate composition spaces. COMBUSTION AND FLAME, 250. https://doi.org/10.1016/j.combustflame.2023.112641

Taassob, A., Ranade, R., & Echekki, T. (2023, October 31). Physics-Informed Neural Networks for Turbulent Combustion: Toward Extracting More Statistics and Closure from Point Multiscalar Measurements. ENERGY & FUELS, Vol. 10. https://doi.org/10.1021/acs.energyfuels.3c02410