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  • Presentation | A33G: Data-Driven Methods for Quantifying Atmospheric Composition: Advances in Computation and Statistical Learning II Poster
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  • A33G-2233: Atmospheric chemistry surrogate modeling with sparse identification of mass action dynamics: Toward 3D online integration
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  • Board 2233‚ Hall EFG (Poster Hall)
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Author(s):
Xiaokai Yang, University of Illinois at Urbana Champaign (First Author, Presenting Author)
Lin Guo, University of Illinois at Urbana Champaign
Christopher Tessum, University of Illinois at Urbana Champaign

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