AIMC Topic: Magnesium

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Predicting the tensile properties of heat treated and non-heat treated LPBFed AlSi10Mg alloy using machine learning regression algorithms.

PloS one Jun 2, 2025
In this study, the ability of machine learning algorithms to predict tensile properties of both heat-treated and non-heat treated LPBFed AlSi10Mg alloy is investigated. The data was analyzed using various Machine Learning Regression (MLR) models such...
Machine Learning Algorithms Hot Temperature Tensile Strength Alloys Magnesium Materials Testing
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Predicting RNA structure and dynamics with deep learning and solution scattering.

Biophysical journal Dec 25, 2024
Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce confo...
Scattering, Small Angle Deep Learning Models, Molecular Nucleic Acid Conformation RNA Solutions Magnesium X-Ray Diffraction
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High cell density cultivation of Corynebacterium glutamicum by deep learning-assisted medium design and the subsequent feeding strategy.

Journal of bioscience and bioengineering Mar 2, 2024
To improve the cell productivity of Corynebacterium glutamicum, its initial specific growth rate was improved by medium improvement using deep neural network (DNN)-assisted design with Bayesian optimization (BO) and a genetic algorithm (GA). To obtai...
Deep Learning Bayes Theorem Glucose Cell Count Corynebacterium glutamicum Magnesium
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Geometric deep learning for the prediction of magnesium-binding sites in RNA structures.

International journal of biological macromolecules Feb 15, 2024
Magnesium ions (Mg) are essential for the folding, functional expression, and structural stability of RNA molecules. However, predicting Mg-binding sites in RNA molecules based solely on RNA structures is still challenging. The molecular surface, cha...
Deep Learning Magnesium Binding Sites RNA Ions
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The assessment of emerging data-intelligence technologies for modeling Mg and SO surface water quality.

Journal of environmental management Sep 21, 2021
The concentration of soluble salts in surface water and rivers such as sodium, sulfate, chloride, magnesium ions, etc., plays an important role in the water salinity. Therefore, accurate determination of the distribution pattern of these ions can imp...
Rivers Magnesium Water Quality Artificial Intelligence Water Least-Squares Analysis Intelligence Environmental Monitoring Humans
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Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

Computational intelligence and neuroscience Jul 19, 2021
In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviation, aerospace, and electronics, especially automobiles, many properties of magnesium alloy materials, especially the low-density performance character...
Tensile Strength Magnesium Materials Testing Neural Networks, Computer Algorithms
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Using artificial neural network in determining postharvest LIFE of kiwifruit.

Journal of the science of food and agriculture Jul 18, 2019
BACKGROUND: Artificial intelligence systems have been employed for the development of predictive models that estimate many agricultural processes.
Calcium Fruit Actinidia Magnesium Neural Networks, Computer Nitrogen Potassium
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A step towards intelligent EBSD microscopy: machine-learning prediction of twin activity in MgAZ31.

Journal of microscopy Aug 8, 2018
UNLABELLED: Although microscopy is often treated as a quasi-static exercise for obtaining a snapshot of events and structure, it is clear that a more dynamic approach, involving real-time decision making for guiding the investigation process, may pro...
Magnesium Microscopy Alloys Supervised Machine Learning Stochastic Processes
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Magnetically Coated Bioabsorbable Stents for Renormalization of Arterial Vessel Walls after Stent Implantation.

Nano letters Dec 28, 2017
The insertion of a stent in diseased arteries is a common endovascular procedure that can be compromised by the development of short- and long-term inflammatory responses leading to restenosis and thrombosis, respectively. While treatment with drugs,...
Metal Nanoparticles Iron Humans Stem Cells Alloys Coronary Restenosis Thrombosis Platinum Human Umbilical Vein Endothelial Cells Magnesium Magnets Coated Materials, Biocompatible Stents Polyesters
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A sensitive assay based on specific aptamer binding for the detection of Salmonella enterica serovar Typhimurium in milk samples by microchip capillary electrophoresis.

Journal of chromatography. A Dec 23, 2017
The detection of Salmonella enterica serovar Typhimurium (S. Typhimurium) is very important for the prevention of food poisoning and other infectious diseases. Here we reported a simple and sensitive strategy to test S. Typhimurium by microchip capil...
Fluorescent Dyes Magnesium Salmonella typhimurium Serogroup Milk Animals Limit of Detection Aptamers, Nucleotide Electrophoresis, Microchip
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