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cs.LG2026
RheOPT: Few-Shot Non-Newtonian Flow Prediction via Newtonian Pretraining of RheOFormer
Maedeh Saberi, Amir Barati Farimani, Safa Jamali
Despite advances in numerical methods, non-Newtonian flow simulations remain computationally expensive because velocity and stress must be advanced together through rate- and histo…
cs.LG2026
Hierarchical Multi-Fidelity Learning for Predicting Three-Dimensional Flame Wrinkling and Turbulent Burning Velocity
Saghar Zolfaghari, Yu Xie, Junfeng Yang +1
High-fidelity experimental characterization of turbulent premixed flames remains limited by the cost and complexity of advanced diagnostics, particularly under elevated pressures a…
cs.LG2025
RheOFormer: A generative transformer model for simulation of complex fluids and flows
Maedeh Saberi, Amir Barati Farimani, Safa Jamali
The ability to model mechanics of soft materials under flowing conditions is key in designing and engineering processes and materials with targeted properties. This generally requi…