Search Results for author: Michael McKerns

Found 2 papers, 0 papers with code

Probabilistic Flux Limiters

no code implementations13 May 2024 Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael McKerns, Daniel Livescu, Andrew Sornborger

In particular, we show that our probabilistic flux limiter outperforms standard limiters, and can be successively improved upon (up to a point) by expanding the set of probabilistically chosen flux limiting functions.

Predictive Scale-Bridging Simulations through Active Learning

no code implementations20 Sep 2022 Satish Karra, Mohamed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan

Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-bridging over brute-force increases in the number of mesh elements.

Active Learning

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