Toward a Predictive Understanding of Cyanobacterial Harmful Algal Blooms through AI Integration of Physical, Chemical, and Biological Data

Marrone, Babetta L.; Banerjee, Shounak; Talapatra, Anjana; Gonzalez-Esquer, C. Raul; Pilania, Ghanshyam

doi:10.1021/acsestwater.3c00369

Toward a Predictive Understanding of Cyanobacterial Harmful Algal Blooms through AI Integration of Physical, Chemical, and Biological Data

Journal Article · Thu Nov 30 00:00:00 EST 2023 · ACS ES&T Water

DOI:https://doi.org/10.1021/acsestwater.3c00369· OSTI ID:2222996

^[1]; Banerjee, Shounak ^[1]; Talapatra, Anjana ^[2]; Gonzalez-Esquer, C. Raul ^[1]; Pilania, Ghanshyam ^[2]

Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States
Materials Science & Technology Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States

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Research Organization:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Organization:: USDOE; USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: 89233218CNA000001

OSTI ID:: 2222996

Alternate ID(s):: OSTI ID: 2274922

Report Number(s):: LA-UR--23-26846

Journal Information:: ACS ES&T Water, Journal Name: ACS ES&T Water Journal Issue: 3 Vol. 4; ISSN 2690-0637

Publisher:: American Chemical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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