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  • Presentation | A32C: Data-Driven Methods for Quantifying Atmospheric Composition: Advances in Computation and Statistical Learning I Oral
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  • A32C-06: Atmospheric Chemical Modeling and Machine Learning using the EarthSciML framework (invited)
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    NOLA CC
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Author(s):
Christopher Tessum, University of Illinois at Urbana Champaign (First Author, Presenting Author)
Hamidreza Emamipour, University of Illinois at Urbana Champaign
Lin Guo, University of Illinois at Urbana Champaign
Jialin Liu, University of Illinois at Urbana Champaign
Manho Park, University of Illinois Urbana-Champaign
Xiaokai Yang, University of Illinois at Urbana Champaign

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