Deep Learning Neural Network Approach for Predicting the Sorption of Ionizable and Polar Organic Pollutants to a Wide Range of Carbonaceous Materials

Chemical Engineering

• Deep Learning Method 100%
• Neural Network 100%
• Organic Pollutant 100%
• Emerging Contaminant 33%
• Activated Carbon 33%
• Drinking Water Treatment 33%
• Contaminants of Emerging Concern 33%
• Carbon Nanotube 33%
• Wastewater Treatment 33%
• Biochar 33%

Engineering

• Drinking Water Treatment 50%