no code implementations • 20 Dec 2023 • Takuya Kurihana, Kyongmin Yeo, Daniela Szwarcman, Bruce Elmegreen, Karthik Mukkavilli, Johannes Schmude, Levente Klein
To mitigate global warming, greenhouse gas sources need to be resolved at a high spatial resolution and monitored in time to ensure the reduction and ultimately elimination of the pollution source.
1 code implementation • 24 Mar 2023 • James L. McDonagh, Benjamin H. Wunsch, Stamatia Zavitsanou, Alexander Harrison, Bruce Elmegreen, Stacey Gifford, Theodore van Kessel, Flaviu Cipcigan
The increasing importance of carbon capture technologies for deployment in remediating CO2 emissions, and thus the necessity to improve capture materials to allow scalability and efficiency, faces the challenge of materials development, which can require substantial costs and time.
no code implementations • 8 Nov 2021 • Chulin Wang, Kyongmin Yeo, Xiao Jin, Andres Codas, Levente J. Klein, Bruce Elmegreen
We present a super-resolution model for an advection-diffusion process with limited information.
no code implementations • 4 Nov 2020 • Chulin Wang, Eloisa Bentivegna, Wang Zhou, Levente Klein, Bruce Elmegreen
Physics-informed neural networks (NN) are an emerging technique to improve spatial resolution and enforce physical consistency of data from physics models or satellite observations.