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All abstracts by Athena A. Nghiem in conference series: Goldschmidt

(2025) Predictions of Arsenic Speciation in Groundwater: Using Machine Learning to Optimize Speciation Sampling in Low-Sulfide Environments
Nghiem AA, Vu D, Pham HV & Winkel LHE

(2023) Using Machine Learning Approaches to Study Arsenic Redistribution in Groundwater
Haaf D, Nghiem AA, Renard P, Berg M & Winkel LHE

(2023) Tracking the Environmental Redistribution of Arsenic (As) via the Atmosphere: Long l(As)ting & Legacy Effects
Nghiem AA, Stenke A & Winkel LHE

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