| Predicting THM formation and revealing its contributors in drinking water treatment using machine learning R Sikder, T Zhang, T Ye ACS ES&T Water 4 (3), 899-912, 2023 | 21 | 2023 |
| Machine learning-assisted raman spectroscopy and SERS for bacterial pathogen detection: clinical, food safety, and environmental applications MHU Rahman, R Sikder, M Tripathi, M Zahan, T Ye, E Gnimpieba Z, ... Chemosensors 12 (7), 140, 2024 | 8 | 2024 |
| Machine learning framework for predicting cytotoxicity and identifying toxicity drivers of disinfection byproducts R Sikder, H Zhang, P Gao, T Ye Journal of Hazardous Materials 469, 133989, 2024 | 6 | 2024 |
| Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system Y Yu, MM Hossain, R Sikder, Z Qi, L Huo, R Chen, W Dou, B Shi, T Ye Science of The Total Environment 951, 175573, 2024 | 4 | 2024 |
| Discovery of 2D Materials with Machine Learning MM Hasan, R Sikder, BK Jasthi, EZ Gnimpieba, V Gadhamshetty Machine Learning in 2D Materials Science, 59-88, 2023 | 4 | 2023 |
| Atomistic Experiments for Discovery of 2d Coatings: Biological Applications S Verma, R Sikder, D Samanta, L Tong, KM Benjamin Machine Learning in 2D Materials Science, 178-200, 2023 | 2 | 2023 |
| Transforming PFAS management: A critical review of machine learning applications for enhanced monitoring and treatment MHU Rahman, R Sikder, TA Tonmoy, MM Hossain, T Ye, N Aich, ... Journal of Water Process Engineering 70, 106941, 2025 | | 2025 |
| 10 Atomistic Experiments for Discovery of 2D Coatings S Verma, R Sikder, D Samanta, L Tong, KM Benjamin Machine Learning in 2D Materials Science, 178, 2023 | | 2023 |
Gadhamshetty Venkataramana, PhD,...Professor, South Dakota School of Mines and TechnologyOverená e-mailová adresa na: sdsmt.edu
