AIMC Topic: Membranes, Artificial

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Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization.

Environmental science & technology Dec 30, 2021
Polymeric membrane design is a multidimensional process involving selection of membrane materials and optimization of fabrication conditions from an infinite candidate space. It is impossible to explore the entire space by trial-and-error experimenta...
Water Bayes Theorem Permeability Machine Learning Membranes, Artificial
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Modelling of transmembrane pressure using slot/pore blocking model, response surface and artificial intelligence approach.

Chemosphere Dec 15, 2021
This work investigates the application of empirical, statistical and machine learning methods to appraise the prediction of transmembrane pressure (TMP) by oscillating slotted pore membrane for the treatment of two kinds of deformable oil drops. Here...
Oils Filtration Membranes, Artificial Neural Networks, Computer Artificial Intelligence
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Application of deep learning for predicting the treatment performance of real municipal wastewater based on one-year operation of two anaerobic membrane bioreactors.

The Science of the total environment Nov 24, 2021
In this study, data-driven deep learning methods were applied in order to model and predict the treatment of real municipal wastewater using anaerobic membrane bioreactors (AnMBRs). Based on the one-year operating data of two AnMBRs, six parameters r...
Membranes, Artificial Wastewater Waste Disposal, Fluid Anaerobiosis Deep Learning Bioreactors
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Prediction of the chromatographic hydrophobicity index with immobilized artificial membrane chromatography using simple molecular descriptors and artificial neural networks.

Journal of chromatography. A Nov 5, 2021
Screening of physicochemical properties should be considered one of the essential steps in the drug discovery pipeline. Among the available methods, biomimetic chromatography with an immobilized artificial membrane is a powerful tool for simulating i...
Membranes, Artificial Neural Networks, Computer Chromatography Hydrophobic and Hydrophilic Interactions Linear Models
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Deep learning model for simulating influence of natural organic matter in nanofiltration.

Water research Mar 20, 2021
Controlling membrane fouling in a membrane filtration system is critical to ensure high filtration performance. A forecast of membrane fouling could enable preliminary actions to relieve the development of membrane fouling. Therefore, we established ...
Water Purification Filtration Membranes, Artificial Humic Substances Deep Learning Cattle Animals
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Real-time monitoring of forward osmosis membrane fouling in wastewater reuse process performed with a deep learning model.

Chemosphere Feb 22, 2021
Monitoring fouling behavior for better understanding and control has recently gained increasing attention. However, there is no practical method for observing membrane fouling in real time, especially in the forward osmosis (FO) process. In this arti...
Membranes, Artificial Osmosis Wastewater Water Purification Deep Learning
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An osmotic membrane bioreactor-clarifier system with a deep learning model for simultaneous reduction of salt accumulation and membrane fouling.

Chemosphere Feb 6, 2021
This study investigates a novel hybrid configuration of an osmotic membrane bioreactor-clarifier (OMBRC) to achieve the simultaneous reduction of salt accumulation and membrane fouling. Compared with the conventional OMBR, the OMBRC demonstrated 14 t...
Membranes, Artificial Osmosis Deep Learning Bioreactors Wastewater Water Purification Artificial Intelligence
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Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay.

Molecular pharmaceutics Jun 12, 2020
The in vitro-in vivo extrapolation (IVIVE) approach for predicting total plasma clearance (CL) has been widely used to rank order compounds early in discovery. More recently, a computational machine learning approach utilizing physicochemical descrip...
Metabolic Clearance Rate Male Protein Binding Membranes, Artificial Rats, Sprague-Dawley Liver Hepatocytes Rats Dogs Permeability Humans Machine Learning Models, Biological Microsomes, Liver Pharmacokinetics Blood Proteins Administration, Intravenous Animals Madin Darby Canine Kidney Cells Plasma Pharmaceutical Preparations
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A Coupled FEM-SPH Modeling Technique to Investigate the Contractility of Biohybrid Thin Films.

Advanced biosystems Jun 9, 2020
Biohybrid actuators have the potential to overcome the limitations of traditional actuators employed in robotics, thanks to the unique features of living contractile muscle cells, which can be used to power artificial elements. This paper describes a...
Membranes, Artificial Finite Element Analysis Animals Robotics Cell Line Mice Polyesters Muscle Fibers, Skeletal Dimethylpolysiloxanes Muscle, Skeletal Hydrostatic Pressure Humans Tissue Engineering Myoblasts Muscle Contraction
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Modeling water flux in osmotic membrane bioreactor by adaptive network-based fuzzy inference system and artificial neural network.

Bioresource technology Apr 18, 2020
Osmotic Membrane Bioreactor (OMBR) is an emerging technology for wastewater treatment with membrane fouling as a major challenge. This study aims to develop Adaptive Network-based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) mod...
Membranes, Artificial Neural Networks, Computer Osmosis Water Fuzzy Logic Wastewater Bioreactors
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