AIMC Topic: Membranes, Artificial
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Corrugated paraffin nanocomposite films as large stroke thermal actuators and self-activating thermal interfaces.
ACS applied materials & interfaces
Apr 9, 2015
High performance active materials are of rapidly growing interest for applications including soft robotics, microfluidic systems, and morphing composites. In particular, paraffin wax has been used to actuate miniature pumps, solenoid valves, and comp...
Interpretable machine learning and graph attention network based model for predicting PAMPA permeability.
Journal of molecular graphics & modelling
Jul 1, 2025
Parallel artificial membrane permeability assay (PAMPA) is widely used in the early phases of drug discovery as it is quite robust and offers high throughput. It serves as a platform for assessing the permeability and absorption of pharmaceutical com...
DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications.
Water research
Jul 1, 2025
Resource recovery from textile wastewater has attracted increasing interest because it simultaneously addresses wastewater treatment and maximizes the utilization of the residual dyes. Although polyester membranes have demonstrated great potential fo...
Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane.
ACS sensors
Jun 27, 2025
Despite a decrease in the incidence of dental caries over the past four decades, it remains a widespread public health concern. The multifactorial etiology of dental caries complicates effective prevention and early intervention efforts, underscoring...
Machine learning-driven insights into retention mechanism in IAM chromatography of anticancer sulfonamides: Implications for biological efficacy.
Journal of chromatography. A
Jun 21, 2025
Machine learning (ML) tools offer new opportunities in drug discovery, especially for enhancing our understanding of molecular interactions with biological systems. This study develops a comprehensive quantitative structure-retention relationship (QS...
Predicting Membrane Fouling of Submerged Membrane Bioreactor Wastewater Treatment Plants Using Machine Learning.
Environmental science & technology
May 27, 2025
Membrane fouling remains a significant challenge in the operation of membrane bioreactors (MBRs). Plant operators rely heavily on observations of filtration performance from noisy sensor data to assess membrane fouling conditions and lab-based protoc...
On the evaluating membrane flux of forward osmosis systems: Data assessment and advanced intelligent modeling.
Water environment research : a research publication of the Water Environment Federation
Jan 1, 2024
As an emerging desalination technology, forward osmosis (FO) can potentially become a reliable method to help remedy the current water crisis. Introducing uncomplicated and precise models could help FO systems' optimization. This paper presents the p...
An intelligent detecting system for permeability prediction of MBR.
Water science and technology : a journal of the International Association on Water Pollution Research
Jan 1, 2018
The membrane bioreactor (MBR) has been widely used to purify wastewater in wastewater treatment plants. However, a critical difficulty of the MBR is membrane fouling. To reduce membrane fouling, in this work, an intelligent detecting system is develo...
Feedforward Chemical Neural Network: An In Silico Chemical System That Learns xor.
Artificial life
Jan 1, 2017
Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation....
Continuous Hemodiafiltration with an AN69ST Hemofilter (AN69ST-CHDF) as FGF-23-Lowering Therapy.
Clinical laboratory
Dec 1, 2016
BACKGROUND: Recent studies have shown that fibroblast growth factor-23 (FGF-23) is elevated not only in chronic kidney disease (CKD), but also in acute illnesses such as acute kidney injury, septic shock, and acute heart failure. FGF-23 would be not ...
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