AIMC Topic: Polymers
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Applications of enhanced sampling methods to biomolecular self-assembly: a review.
Journal of physics. Condensed matter : an Institute of Physics journal
Jul 23, 2025
This review article discusses some common enhanced sampling methods in relation to the process of self-assembly of biomolecules. An introduction to self-assembly and its challenges is covered followed by a brief overview of the methods and analysis f...
Self-Assembly MXene/PDA@Cotton Fabric Pressure Sensor Integrated with Deep Learning for Sign Language Recognition.
ACS applied materials & interfaces
Jul 11, 2025
In recent years, smart textiles and flexible wearable products have garnered significant attention in fields such as human-computer interaction, medical rehabilitation training, and motion monitoring. Flexible pressure sensors have attracted signific...
Developing Hybrid Machine Learning Frameworks for Polymer Property Prediction Based on Composition and Sequence Features.
Journal of chemical information and modeling
Jul 6, 2025
Artificial intelligence (AI) plays a significant role in advancing polymer science and engineering. Considering the critical role of the glass transition temperature () in determining the physical properties of polymers, this study systematically inv...
Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations.
Scientific reports
Jul 2, 2025
This study introduces a sophisticated predictive framework for determining drug solubility and activity values in formulations via machine learning. The framework utilizes a comprehensive dataset consisting of more than 12,000 data rows and 24 input ...
Identification of Polymeric Nanoparticles Using Strategic Peptide Sensor Configurations and Machine Learning.
ACS sensors
Jun 21, 2025
Environmental pollution by miniaturized plastics such as micro- and nanoplastics continues to escalate, posing serious risks to ecosystems and human health. Therefore, there is an urgent need to detect or identify the plastics. Although the technique...
Combinatorial discovery of microtopographical landscapes that resist biofilm formation through quorum sensing mediated autolubrication.
Nature communications
Jun 18, 2025
Bio-instructive materials that intrinsically inhibit biofilm formation have significant anti-biofouling potential in industrial and healthcare settings. Since bacterial surface attachment is sensitive to surface topography, we experimentally surveyed...
High-Throughput Analysis of Protein Adsorption to a Large Library of Polymers Using Liquid Extraction Surface Analysis-Tandem Mass Spectrometry (LESA-MS/MS).
Analytical chemistry
Jun 10, 2025
Biomaterials play an important role in medicine from contact lenses to joint replacements. High-throughput screening coupled with machine learning has identified synthetic polymers that prevent bacterial biofilm formation, prevent fungal cell attachm...
Artificial intelligence-enabled microsphere imaging immunosensor based on magnetic metal-organic frameworks-assisted sample pretreatment for detecting aflatoxin B in peanuts.
Journal of hazardous materials
Apr 25, 2025
Sensitive and rapid detection of aflatoxin B (AFB) is vital for safeguarding food safety, considering its potent carcinogenic toxicity. Herein, an artificial intelligence-enabled microsphere imaging (AI-MI) immunosensor based on magnetic metal-organi...
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...
Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models.
ACS sensors
Apr 17, 2025
The performance of electrochemical sensors is influenced by various factors. To enhance the effectiveness of these sensors, it is crucial to find the right balance among these factors. Researchers and engineers continually explore innovative approach...
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