AIMC Topic: Porosity

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Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs.

Scientific reports Jun 17, 2023
This study employs a stacked ensemble machine learning approach to predict carbonate rocks' porosity and absolute permeability with various pore-throat distributions and heterogeneity. Our dataset consists of 2D slices from 3D micro-CT images of four...
Carbonates Porosity Permeability Machine Learning Algorithms
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Deep learning for diffusion in porous media.

Scientific reports Jun 16, 2023
We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Two different media types are considered: one mimics the sand packings, and the other mimics the systems derived from the extracellular space of biologi...
Neural Networks, Computer Diffusion Sand Deep Learning Porosity
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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...
Porosity Cesium Waste Disposal, Fluid Water Purification Polymers Wastewater Water Pollutants, Chemical Adsorption Zinc Sulfones
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Automated, calibration-free quantification of cortical bone porosity and geometry in postmenopausal osteoporosis from ultrashort echo time MRI and deep learning.

Bone Mar 21, 2023
BACKGROUND: Assessment of cortical bone porosity and geometry by imaging in vivo can provide useful information about bone quality that is independent of bone mineral density (BMD). Ultrashort echo time (UTE) MRI techniques of measuring cortical bone...
Humans Osteoporosis Female Bone Density Retrospective Studies Osteoporosis, Postmenopausal Magnetic Resonance Imaging Cortical Bone Deep Learning Porosity
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Intelligent analysis of carbendazim in agricultural products based on a ZSHPC/MWCNT/SPE portable nanosensor combined with machine learning methods.

Analytical methods : advancing methods and applications Feb 2, 2023
A nano-ZnS-decorated hierarchically porous carbon (ZSHPC) was mixed with MWCNTs to obtain ZSHPC/MWCNT nanocomposites. Then, ZSHPC/MWCNTs were used to modify a screen-printed electrode, and a portable electrochemical detection system combined with mac...
Porosity Carbon Tea Machine Learning
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Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability.

Environmental science and pollution research international Dec 20, 2022
Gas breakthrough pressure is a significant parameter for the gas exploration and safety evaluation of engineering barrier systems in the carbon dioxide storage, remediation of contaminated sites, and deep geological repository for disposal of high-le...
Porosity Carbon Dioxide Permeability Machine Learning Algorithms
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Soft Robots' Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks.

Sensors (Basel, Switzerland) Oct 11, 2022
Soft robots can create complicated structures and functions for rehabilitation. The posture perception of soft actuators is critical for performing closed-loop control for a precise location. It is essential to have a sensor with both soft and flexib...
Perception Posture Robotics Equipment Design Porosity Neural Networks, Computer
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Shale gas geological "sweet spot" parameter prediction method and its application based on convolutional neural network.

Scientific reports Sep 13, 2022
Parameters such as gas content (GAS), porosity (PHI) and total organic carbon (TOC) are key parameters that reveal the shale gas geological "sweet spot" of reservoirs. However, the lack of a three-dimensional high-precision prediction method is not c...
Oil and Gas Fields Neural Networks, Computer Natural Gas Porosity Geology
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Deep Learning-Based Photoacoustic Imaging of Vascular Network Through Thick Porous Media.

IEEE transactions on medical imaging Aug 1, 2022
Photoacoustic imaging is a promising approach used to realize in vivo transcranial cerebral vascular imaging. However, the strong attenuation and distortion of the photoacoustic wave caused by the thick porous skull greatly affect the imaging quality...
Porosity Neural Networks, Computer Photoacoustic Techniques Deep Learning Algorithms Image Processing, Computer-Assisted
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A unified parameter model based on machine learning for describing microbial transport in porous media.

The Science of the total environment Jul 12, 2022
The transport and retention of microorganisms are typically described using attachment/detachment and straining/liberation models. However, the parameters in the models varied significantly, posing a significant challenge to describe microbial transp...
Porosity Machine Learning Particle Size
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