no code implementations • 4 Apr 2024 • Mohammadmehdi Ataei, Hyunmin Cheong, Daniele Grandi, Ye Wang, Nigel Morris, Alexander Tessier
Second, we show how our framework effectively mimics empathic lead user interviews, identifying a greater number of latent needs than conventional human interviews.
no code implementations • 8 Feb 2024 • Rakesh Halder, Mohammadmehdi Ataei, Hesam Salehipour, Krzysztof Fidkowski, Kevin Maki
When applied to two unsteady fluid dynamics problems, our results show that the presented framework effectively reduces error propagation and leads to more accurate time-series prediction of latent variables at unseen points.
1 code implementation • 27 Nov 2023 • Mohammadmehdi Ataei, Hesam Salehipour
The lattice Boltzmann method (LBM) has emerged as a prominent technique for solving fluid dynamics problems due to its algorithmic potential for computational scalability.
no code implementations • 27 Jul 2021 • Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B Park, Markus Bussmann
Given the volume fraction and interface normal, the location of a linear interface is uniquely defined.
no code implementations • 26 Jun 2020 • Mohammadmehdi Ataei, Markus Bussmann, Vahid Shaayegan, Franco Costa, Sejin Han, Chul B. Park
Volume of fluid (VOF) methods are extensively used to track fluid interfaces in numerical simulations, and many VOF algorithms require that the interface be reconstructed geometrically.