AIMC Topic: Osmosis

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Predicting the Effects of Charge Mutations on the Second Osmotic Virial Coefficient for Therapeutic Antibodies via Coarse-Grained Molecular Simulations and Deep Learning Methods.

Molecular pharmaceutics Jul 7, 2025
The impact of various charge mutations on the second osmotic virial coefficient was examined for three model therapeutic monoclonal antibodies (MAbs) at representative formulation pH values by using coarse-grained (CG) molecular modeling. The wild-ty...
Osmosis Hydrogen-Ion Concentration Static Electricity Deep Learning Mutation Algorithms Antibodies, Monoclonal Molecular Dynamics Simulation
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Machine learning-guided performance prediction of forward osmosis polymeric membranes for boron recovery.

Water research Apr 22, 2025
Efficient recovery of boron is one of the crucial strategies of sustainably extracting valuable resource from water. It however still remains a key technological challenge to efficiently predict boron recovery from unconventional water resources such...
Machine Learning Membranes, Artificial Osmosis Boron Water Purification Polymers
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RSM and AI based machine learning for quality by design development of rivaroxaban push-pull osmotic tablets and its PBPK modeling.

Scientific reports Mar 7, 2025
The study is based on applying Artificial Neural Network (ANN) based machine learning and Response Surface Methodology (RSM) as simultaneous bivariate approaches in developing controlled-release rivaroxaban (RVX) osmotic tablets. The influence of dif...
Neural Networks, Computer Machine Learning Humans Drug Liberation Biological Availability Models, Biological Tablets Osmosis Rivaroxaban Delayed-Action Preparations
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A machine learning based framework to tailor properties of nanofiltration and reverse osmosis membranes for targeted removal of organic micropollutants.

Water research Oct 20, 2024
Nanofiltration (NF) and reverse osmosis (RO) membranes play an increasingly important role in the removal of organic micropollutants (OMPs), which puts higher demands on the customization of membranes suitable for OMPs removal based on the rejection ...
Osmosis Water Purification Water Pollutants, Chemical Filtration Membranes, Artificial Machine Learning
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Machine learning models for predicting the rejection of organic pollutants by forward osmosis and reverse osmosis membranes and unveiling the rejection mechanisms.

Water research Aug 30, 2024
While forward osmosis (FO) and reverse osmosis (RO) processes have been proven effective in rejecting organic pollutants, the rejection rate is highly dependent on compound and membrane characteristics, as well as operating conditions. This study aim...
Osmosis Water Pollutants, Chemical Membranes, Artificial Water Purification Models, Theoretical Machine Learning
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Unlocking groundwater desalination potential for agriculture with fertilizer drawn forward osmosis: prediction and performance optimization via RSM and ANN.

Environmental science and pollution research international Jun 21, 2024
The agricultural sector uses 70% of the world's freshwater. As clean water is extracted, groundwater quality decreases, making it difficult to grow crops. Brackish water desalination is a promising solution for agricultural areas, but the cost is a b...
Neural Networks, Computer Salinity Osmosis Groundwater Fertilizers Water Purification Agriculture
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Osmotic Cloud-Edge Intelligence for IoT-Based Cyber-Physical Systems.

Sensors (Basel, Switzerland) Mar 10, 2022
Artificial Intelligence (AI) in Cyber-Physical Systems allows machine learning inference on acquired data with ever greater accuracy, thanks to models trained with massive amounts of information generated by Internet of Things devices. Edge Intellige...
Software Intelligence Osmosis Artificial Intelligence
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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 Water Purification Wastewater 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...
Osmosis Bioreactors Membranes, Artificial Water Purification Deep Learning Artificial Intelligence Wastewater
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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...
Bioreactors Neural Networks, Computer Water Osmosis Membranes, Artificial Wastewater Fuzzy Logic
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