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Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning

  • Read more about Predicting Aqueous Adsorption of Organic Compounds onto Biochars, Carbon Nanotubes, Granular Activated Carbons, and Resins with Machine Learning

Highly Efficient Bromide Removal from Shale Gas Produced Water by Unactivated Peroxymonosulfate for Controlling Disinfection Byproduct Formation in Impacted Water Supplies

  • Read more about Highly Efficient Bromide Removal from Shale Gas Produced Water by Unactivated Peroxymonosulfate for Controlling Disinfection Byproduct Formation in Impacted Water Supplies

Galvanic oxidation processes (GOPs): An effective direct electron transfer approach for organic contaminant oxidation

  • Read more about Galvanic oxidation processes (GOPs): An effective direct electron transfer approach for organic contaminant oxidation

Enhancement of nitrogen and phosphorus removal, sludge reduction and microbial community structure in an anaerobic/anoxic/oxic process coupled with composite ferrate solution disintegration

  • Read more about Enhancement of nitrogen and phosphorus removal, sludge reduction and microbial community structure in an anaerobic/anoxic/oxic process coupled with composite ferrate solution disintegration

Coupling a Feedforward Network (FN) Model to Real Adsorbed Solution Theory (RAST) to Improve Prediction of Bisolute Adsorption on Resins

  • Read more about Coupling a Feedforward Network (FN) Model to Real Adsorbed Solution Theory (RAST) to Improve Prediction of Bisolute Adsorption on Resins

System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

  • Read more about System Dynamics-Multiple Objective Optimization Model for Water Resource Management: A Case Study in Jiaxing City, China

Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds

  • Read more about Shedding light on "Black Box" machine learning models for predicting the reactivity of HO center dot radicals toward organic compounds

Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex

  • Read more about Quantitative structure activity relationships (QSARs) and machine learning models for abiotic reduction of organic compounds by an aqueous Fe(II) complex

Evolution of humic substances in polymerization of polyphenol and amino acid based on non-destructive characterization

  • Read more about Evolution of humic substances in polymerization of polyphenol and amino acid based on non-destructive characterization

Ecological risk potential assessment of heavy metal contaminated soils in Ophiolitic formations

  • Read more about Ecological risk potential assessment of heavy metal contaminated soils in Ophiolitic formations

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Case School of Engineering
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Nord Hall
2095 Martin Luther King Jr Dr
Rm 500
Cleveland, OH 44106

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10900 Euclid Ave.
Cleveland, Ohio 44106-7148

Phone: 216.368.4436

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