AIMC Topic: Strontium

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Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2024
Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock freque...
Humans Neural Networks, Computer Brain Oxides Titanium Diffusion Semiconductors Transistors, Electronic Strontium
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On stars and spikes: Resolving the skeletal morphology of planktonic Acantharia using synchrotron X-ray nanotomography and deep learning image segmentation.

Acta biomaterialia Jan 25, 2023
Acantharia (Acantharea) are wide-spread marine protozoa, presenting one of the rare examples of strontium sulfate mineralization in the biosphere. Their endoskeletons consist of 20 spicules arranged according to a unique geometric pattern named Mülle...
Animals Deep Learning Minerals X-Rays Synchrotrons Strontium
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Optimizing the removal of strontium and cesium ions from binary solutions on magnetic nano-zeolite using response surface methodology (RSM) and artificial neural network (ANN).

Environmental research Mar 28, 2019
The feasibility of using magnetic nano-zeolite (MNZ) to remove cesium and strontium from their binary corrosive solutions was investigated by considering the multi-variant/multi-objective nature of the process. RSM (Response Surface Methodology) and ...
Neural Networks, Computer Reproducibility of Results Adsorption Models, Chemical Cesium Kinetics Hydrogen-Ion Concentration Magnetic Phenomena Ions Zeolites Solutions Strontium
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