Thinking the future of membranes: Perspectives for advanced and new membrane materials and manufacturing processes
The state-of-the-art of membrane technology is characterized by a number of mature
applications such as sterile filtration, hemodialysis, water purification and gas separation, as …
applications such as sterile filtration, hemodialysis, water purification and gas separation, as …
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
L Li, S Rong, R Wang, S Yu - Chemical Engineering Journal, 2021 - Elsevier
Because of its robust autonomous learning and ability to address complex problems,
artificial intelligence (AI) has increasingly demonstrated its potential to solve the challenges …
artificial intelligence (AI) has increasingly demonstrated its potential to solve the challenges …
A novel method integrating response surface method with artificial neural network to optimize membrane fabrication for wastewater treatment
Developing high performance membranes is an urgent need to resolve water pollution
problem. Electroless nickel plating (ENP) has been emerging as a promising membrane …
problem. Electroless nickel plating (ENP) has been emerging as a promising membrane …
Ion–ion selectivity of synthetic membranes with confined nanostructures
Synthetic membranes featuring confined nanostructures have emerged as a prominent
category of leading materials that can selectively separate target ions from complex water …
category of leading materials that can selectively separate target ions from complex water …
Pore model for nanofiltration: History, theoretical framework, key predictions, limitations, and prospects
This review introduces the development history of the widely used NF model, ie, the Donnan-
Steric Pore Model with Dielectric Exclusion (DSPM-DE), from the emergence of its …
Steric Pore Model with Dielectric Exclusion (DSPM-DE), from the emergence of its …
Quantification of interfacial interaction related with adhesive membrane fouling by genetic algorithm back propagation (GABP) neural network
Since adhesive membrane fouling is critically determined by the interfacial interaction
between a foulant and a rough membrane surface, efficient quantification of the interfacial …
between a foulant and a rough membrane surface, efficient quantification of the interfacial …
[HTML][HTML] Maximizing information from chemical engineering data sets: Applications to machine learning
It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …
impact on chemical engineering. But classical machine learning approaches may be weak …
Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis
Y Amar, AM Schweidtmann, P Deutsch, L Cao… - Chemical …, 2019 - pubs.rsc.org
Rational solvent selection remains a significant challenge in process development. Here we
describe a hybrid mechanistic-machine learning approach, geared towards automated …
describe a hybrid mechanistic-machine learning approach, geared towards automated …
Machine learning for the advancement of membrane science and technology: A critical review
Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
Physics-informed deep learning for multi-species membrane separations
D Rehman, JH Lienhard - Chemical Engineering Journal, 2024 - Elsevier
Conventional continuum models for ion transport across polyamide membranes require
solving partial differential equations (PDEs). These models typically introduce a host of …
solving partial differential equations (PDEs). These models typically introduce a host of …