no code implementations • 1 Apr 2024 • Ethan King, James Kotary, Ferdinando Fioretto, Jan Drgona
Recent work has shown a variety of ways in which machine learning can be used to accelerate the solution of constrained optimization problems.
no code implementations • 10 Jan 2024 • William R. Cannon, Ethan King, Katherine A. Huening, Justin A. North
During photoheterotrophic growth on organic substrates, purple nonsulfur photosynthetic bacteria like Rhodospirillum rubrum can acquire electrons by multiple means, including oxidation of organic substrates, oxidation of inorganic electron donors (e. g. H$_2$), and by reverse electron flow from the photosynthetic electron transport chain.
no code implementations • 18 Apr 2023 • James Koch, Woongjo Choi, Ethan King, David Garcia, Hrishikesh Das, Tianhao Wang, Ken Ross, Keerti Kappagantula
Lumped parameter methods aim to simplify the evolution of spatially-extended or continuous physical systems to that of a "lumped" element representative of the physical scales of the modeled system.
1 code implementation • 16 Mar 2022 • Ethan King, Jan Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna Vrabie
The dynamics-aware economic dispatch (DED) problem embeds low-level generator dynamics and operational constraints to enable near real-time scheduling of generation units in a power network.