AIMC Topic: Polymers

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Artificial intelligence and the analysis of cryo-EM data provide structural insight into the molecular mechanisms underlying LN-lamininopathies.

Scientific reports Oct 19, 2023
Laminins (Lm) are major components of basement membranes (BM), which polymerize to form a planar lattice on cell surface. Genetic alternations of Lm affect their oligomerization patterns and lead to failures in BM assembly manifesting in a group of h...
Humans Artificial Intelligence Polymers Cryoelectron Microscopy Laminin Basement Membrane
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CEGAT: A CNN and enhanced-GAT based on key sample selection strategy for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Sep 17, 2023
In recent years, the application of convolutional neural networks (CNNs) and graph convolutional networks (GCNs) in hyperspectral image classification (HSIC) has achieved remarkable results. However, the limited label samples are still a major challe...
Neural Networks, Computer Polymers
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Automatically Predicting Material Properties with Microscopic Images: Polymer Miscibility as an Example.

Journal of chemical information and modeling Aug 17, 2023
Many material properties are manifested in the morphological appearance and characterized using microscopic images, such as scanning electron microscopy (SEM). Polymer miscibility is a key physical quantity of polymer materials and is commonly and in...
Humans Neural Networks, Computer Machine Learning Polymers
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Artificial Intelligence (AI)-Aided Structure Optimization for Enhanced Gene Delivery: The Effect of the Polymer Component Distribution (PCD).

ACS applied materials & interfaces Jul 21, 2023
Gene therapy has emerged as a significant advancement in medicine in recent years. However, the development of effective gene delivery vectors, particularly polymer vectors, remains a significant challenge. Limited understanding of the internal struc...
Artificial Intelligence Polymers Transfection Genetic Therapy Gene Transfer Techniques
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Artificial intelligence and structural design of inorganic hollow fiber membranes: Materials chemistry.

Chemosphere Jul 17, 2023
A key challenge is to produce the uniform morphology and regular pore design of inorganic hollow fiber membranes (HFMs) due to involvement of multiple parameters including, fabrication process and materials chemistry. Inorganic HFMs required technica...
Artificial Intelligence Polymers Membranes, Artificial
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Augmenting Polymer Datasets by Iterative Rearrangement.

Journal of chemical information and modeling Jun 30, 2023
One of the biggest obstacles to successful polymer property prediction is an effective representation that accurately captures the sequence of repeat units in a polymer. Motivated by the success of data augmentation in computer vision and natural lan...
Machine Learning Natural Language Processing Polymers
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Thermally trainable dual network hydrogels.

Nature communications Jun 22, 2023
Inspired by biological systems, trainable responsive materials have received burgeoning research interests for future adaptive and intelligent material systems. However, the trainable materials to date typically cannot perform active work, and the tr...
Temperature Robotics Polymers Hydrogels
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Constructing porous ZnFC-PA/PSF composite spheres for highly efficient Cs removal.

Journal of environmental sciences (China) May 20, 2023
Radioisotope leaking from nuclear waste has become an intractable problem due to its gamma radiation and strong water solubility. In this work, a novel porous ZnFC-PA/PSF composite sphere was fabricated by immobilization of ferrocyanides modified zin...
Wastewater Water Purification Zinc Waste Disposal, Fluid Water Pollutants, Chemical Adsorption Sulfones Polymers Porosity Cesium
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Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly.

Journal of chemical information and modeling May 19, 2023
While polymerization-induced self-assembly (PISA) has become a preferred synthetic route toward amphiphilic block copolymer self-assemblies, predicting their phase behavior from experimental design is extremely challenging, requiring time and work-in...
Machine Learning Polymers Linear Models Polymerization
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Self-Healing, Reconfigurable, Thermal-Switching, Transformative Electronics for Health Monitoring.

Advanced materials (Deerfield Beach, Fla.) Mar 3, 2023
Soft, deformable electronic devices provide the means to monitor physiological information and health conditions for disease diagnostics. However, their practical utility is limited due to the lack of intrinsical thermal switching for mechanically tr...
Humans Wearable Electronic Devices Robotics Polymers Skin Electronics
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