AIMC Topic: Porosity

Clear Filters Showing 31 to 40 of 73 articles

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 Waste Disposal, Fluid Cesium Polymers Adsorption Water Purification Water Pollutants, Chemical Sulfones Zinc Wastewater
View on PubMed DOI

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...
Female Deep Learning Retrospective Studies Osteoporosis Osteoporosis, Postmenopausal Cortical Bone Magnetic Resonance Imaging Porosity Humans Bone Density
View on PubMed DOI

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...
Tea Porosity Machine Learning Carbon
View on PubMed DOI

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 Machine Learning Algorithms Permeability
View on PubMed DOI

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...
Porosity Perception Equipment Design Neural Networks, Computer Posture Robotics
View on PubMed DOI

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 Natural Gas Geology Porosity Neural Networks, Computer
View on PubMed DOI

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...
Image Processing, Computer-Assisted Porosity Photoacoustic Techniques Algorithms Neural Networks, Computer Deep Learning
View on PubMed DOI

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...
Machine Learning Particle Size Porosity
View on PubMed DOI

Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence.

Nature nanotechnology Apr 12, 2022
X-ray computed tomography (CT) is a non-destructive imaging technique in which contrast originates from the materials' absorption coefficient. The recent development of laboratory nanoscale CT (nano-CT) systems has pushed the spatial resolution for b...
Electrodes Tomography, X-Ray Computed Porosity Artificial Intelligence
View on PubMed DOI

Machine learning to predict effective reaction rates in 3D porous media from pore structural features.

Scientific reports Mar 31, 2022
Large discrepancies between well-mixed reaction rates and effective reactions rates estimated under fluid flow conditions have been a major issue for predicting reactive transport in porous media systems. In this study, we introduce a framework that ...
Culture Media Machine Learning Porosity Models, Theoretical
View on PubMed DOI
Popular Topics
Recent Journals