Advancement of capacitive deionization propelled by machine learning approach
The gradual deterioration of ecosystems and the exponential growth of the population have
led to severe freshwater scarcity. Fetching available freshwater from seawater is expected to …
led to severe freshwater scarcity. Fetching available freshwater from seawater is expected to …
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… - Science of The Total …, 2024 - Elsevier
Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …
system (DWDS) remains challenging. Predicting DBPs using readily available water quality …
Physics-informed transfer learning for process control applications
S Arce Munoz, J Pershing… - Industrial & Engineering …, 2024 - ACS Publications
Advancements in deep learning tools originally designed for natural language processing
are also applied to applications in the field of process control. Transformers, in particular …
are also applied to applications in the field of process control. Transformers, in particular …
Synergizing data-driven and knowledge-based hybrid models for ionic separations
A hybrid modeling framework has been developed for electrodialysis (ED) and resin-wafer
electrodeionization (EDI) in brackish water desalination, integrating compositional modeling …
electrodeionization (EDI) in brackish water desalination, integrating compositional modeling …