Detalhe da pesquisa
1.
Preparing for the Next Pandemic: Predicting UV Inactivation of Coronaviruses with Machine Learning.
Environ Sci Technol
; 57(37): 13767-13777, 2023 09 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-37660353
2.
Sunlight-Mediated Reductive Transformation of Thallium(III) in Acidic Natural Organic Matter Solutions: Mechanisms and Kinetic Modeling.
Environ Sci Technol
; 57(19): 7466-7477, 2023 05 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-37134314
3.
Light- and H2O2-Mediated Redox Transformation of Thallium in Acidic Solutions Containing Iron: Kinetics and Mechanistic Insights.
Environ Sci Technol
; 56(9): 5530-5541, 2022 05 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-35435677
4.
Kinetics of Thallium(I) Oxidation by Free Chlorine in Bromide-Containing Waters: Insights into the Reactivity with Bromine Species.
Environ Sci Technol
; 56(2): 1017-1027, 2022 01 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-34807594
5.
Thallium(I) Oxidation by Permanganate and Chlorine: Kinetics and Manganese Dioxide Catalysis.
Environ Sci Technol
; 54(12): 7205-7216, 2020 06 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-32310655
6.
Interpreting the role of NO3-, SO42-, and extracellular polymeric substances on aggregation kinetics of CeO2 nanoparticles: Measurement and modeling.
Ecotoxicol Environ Saf
; 194: 110456, 2020 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-32171963
7.
Release of deposited MnO2 nanoparticles from aqueous surfaces.
J Environ Sci (China)
; 90: 234-243, 2020 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-32081319
8.
Deposition Kinetics of Colloidal Manganese Dioxide onto Representative Surfaces in Aquatic Environments: The Role of Humic Acid and Biomacromolecules.
Environ Sci Technol
; 53(1): 146-156, 2019 01 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-30500174
9.
Photochemical transformation and immobilization of thallium in the presence of iron and arsenic: Mechanistic insights from the coupled formation of arsenate complexes.
J Hazard Mater
; 469: 134081, 2024 May 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38522205
10.
The application of machine learning methods for prediction of heavy metal by activated carbons, biochars, and carbon nanotubes.
Chemosphere
; 354: 141584, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38460852
11.
Prediction of antibiotic sorption in soil with machine learning and analysis of global antibiotic resistance risk.
J Hazard Mater
; 466: 133563, 2024 Mar 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38262323
12.
Machine learning for predicting halogen radical reactivity toward aqueous organic chemicals.
J Hazard Mater
; 472: 134501, 2024 Jul 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-38735182
13.
Kinetics and mechanism of Thallium(I) oxidation by Permanganate: Role of bromide.
Chemosphere
; 293: 133652, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35051517
14.
Machine learning in natural and engineered water systems.
Water Res
; 205: 117666, 2021 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-34560616
15.
Interactions between activated sludge extracellular polymeric substances and model carrier surfaces in WWTPs: A combination of QCM-D, AFM and XDLVO prediction.
Chemosphere
; 253: 126720, 2020 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-32464762
16.
Impacts of carrier properties, environmental conditions and extracellular polymeric substances on biofilm formation of sieved fine particles from activated sludge.
Sci Total Environ
; 731: 139196, 2020 Aug 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-32417483
17.
A review on the interactions between engineered nanoparticles with extracellular and intracellular polymeric substances from wastewater treatment aggregates.
Chemosphere
; 219: 766-783, 2019 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-30572231
18.
Deposition of engineered nanoparticles (ENPs) on surfaces in aquatic systems: a review of interaction forces, experimental approaches, and influencing factors.
Environ Sci Pollut Res Int
; 25(33): 33056-33081, 2018 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-30267342