AIMC Topic: Glass

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High-Speed Handling Robot with Bionic End-Effector for Large Glass Substrate in Clean Environment.

Sensors (Basel, Switzerland) Dec 27, 2021
The development of "large display, high performance and low cost" in the FPD industry demands glass substrates to be "larger and thinner". Therefore, the requirements of handling robots are developing in the direction of large scale, high speed, and ...
Robotics Bionics Glass Biomechanical Phenomena
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PIXE based, Machine-Learning (PIXEL) supported workflow for glass fragments classification.

Talanta Jun 24, 2021
This paper presents a structured workflow for glass fragment analysis based on a combination of Elemental Analysis using PIXE and Machine Learning tools, with the ultimate goal of standardizing and helping forensic efforts. The proposed workflow was ...
Machine Learning Workflow Forensic Sciences Glass
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Machine learning as a tool to design glasses with controlled dissolution for healthcare applications.

Acta biomaterialia Feb 28, 2020
The advancement of glass science has played a pivotal role in enhancing the quality and length of human life. However, with an ever-increasing demand for glasses in a variety of healthcare applications - especially with controlled degradation rates -...
Supervised Machine Learning Biocompatible Materials Oxides Equipment Design Eyeglasses Solubility Glass
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Machine-Learning-Based Predictive Modeling of Glass Transition Temperatures: A Case of Polyhydroxyalkanoate Homopolymers and Copolymers.

Journal of chemical information and modeling Nov 22, 2019
Polyhydroxyalkanoate-based polymers-being ecofriendly, biosynthesizable, and economically viable and possessing a broad range of tunable properties-are currently being actively pursued as promising alternatives for petroleum-based plastics. The vast ...
Machine Learning Transition Temperature Glass Polyhydroxyalkanoates
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Artificial Neural Networks-Based Software for Measuring Heat Collection Rate and Heat Loss Coefficient of Water-in-Glass Evacuated Tube Solar Water Heaters.

PloS one Dec 1, 2015
Measurements of heat collection rate and heat loss coefficient are crucial for the evaluation of in service water-in-glass evacuated tube solar water heaters. However, conventional measurement requires expensive detection devices and undergoes a seri...
Sunlight Glass Time Factors Software Models, Theoretical Heating Neural Networks, Computer Water Hot Temperature
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Dicke simulators with emergent collective quantum computational abilities.

Physical review letters Apr 6, 2015
Using an approach inspired from spin glasses, we show that the multimode disordered Dicke model is equivalent to a quantum Hopfield network. We propose variational ground states for the system at zero temperature, which we conjecture to be exact in t...
Glass Quantum Theory Thermodynamics Neural Networks, Computer Models, Theoretical
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Application of neural networks with novel independent component analysis methodologies to a Prussian blue modified glassy carbon electrode array.

Talanta Aug 13, 2014
Sodium potassium absorption ratio (SPAR) is an important measure of agricultural water quality, wherein four exchangeable cations (K(+), Na(+), Ca(2+) and Mg(2+)) should be simultaneously determined. An ISE-array is suitable for this application beca...
Molecular Imprinting Calibration Agricultural Irrigation Glass Neural Networks, Computer Coloring Agents Electrochemical Techniques Carbon Algorithms Ferrocyanides Biosensing Techniques Principal Component Analysis Electrodes Water Pollutants, Chemical
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The implementation of artificial intelligence to the low-cost metaphase finder.

Radiation protection dosimetry Sep 18, 2023
Biological dosimetry is used to estimate one's dose by biological phenomena. The most popular and 'gold standard' phenomenon is the appearance of dicentric chromosomes in metaphases. The metaphase finder is a tool for biological dosimetry that finds ...
Glass Artificial Intelligence Metaphase Image Processing, Computer-Assisted
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Predicting Dynamic Heterogeneity in Glass-Forming Liquids by Physics-Inspired Machine Learning.

Physical review letters Jun 9, 2023
We introduce GlassMLP, a machine learning framework using physics-inspired structural input to predict the long-time dynamics in deeply supercooled liquids. We apply this deep neural network to atomistic models in 2D and 3D. Its performance is better...
Glass Neural Networks, Computer Physics Machine Learning Temperature
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A high-efficient batch-recirculated photoreactor packed with immobilized TiO2-P25 nanoparticles onto glass beads for photocatalytic degradation of phenazopyridine as a pharmaceutical contaminant: artificial neural network modeling.

Water science and technology : a journal of the International Association on Water Pollution Research Jan 1, 2016
In this study, removal efficiency of phenazopyridine (PhP) as a model pharmaceutical contaminant was investigated in a batch-recirculated photoreactor packed with immobilized TiO2-P25 nanoparticles on glass beads. Influence of various operational par...
Glass Phenazopyridine Titanium Photolysis Neural Networks, Computer Nanoparticles Water Pollutants, Chemical
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