AIMC Topic: Porosity

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Nonionic surfactant Tween 80-facilitated bacterial transport in porous media: A nonmonotonic concentration-dependent performance, mechanism, and machine learning prediction.

Environmental research Mar 16, 2024
The surfactant-enhanced bioremediation (SEBR) of organic-contaminated soil is a promising soil remediation technology, in which surfactants not only mobilize pollutants, but also alter the mobility of bacteria. However, the bacterial response and und...
Soil Pollutants Pseudomonas aeruginosa Polysorbates Soil Microbiology Biodegradation, Environmental Porosity Surface-Active Agents Machine Learning
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Prediction of the mechanical properties of TPMS structures based on Back propagation neural network.

Computer methods in biomechanics and biomedical engineering Jan 29, 2024
Triply Periodic Minimal Surface (TPMS) has the characteristics of high porosity, a highly interconnected network, and a smooth surface, making it an ideal candidate for bone tissue engineering applications. However, due to the complex relationship be...
Surface Properties Tissue Engineering Porosity Neural Networks, Computer
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Deep learning to overcome Zernike phase-contrast nanoCT artifacts for automated micro-nano porosity segmentation in bone.

Journal of synchrotron radiation Jan 1, 2024
Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the lacuna-canalicular network (LCN), that is thought to play an important role in mechanobiology and turnover. The LCN comprises micrometer-sized lacuna...
Humans Animals Porosity Zebrafish Image Processing, Computer-Assisted Deep Learning Bone and Bones Artifacts
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Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring.

Nano letters Sep 15, 2023
Respiratory pattern is one of the most crucial indicators for accessing human health, but there has been limited success in implementing fast-responsive, affordable, and miniaturized platforms with the capability for smart recognition. Herein, a full...
Porosity Neural Networks, Computer Humans
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Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet.

Neural networks : the official journal of the International Neural Network Society Aug 9, 2023
We predict steady-state Stokes flow of fluids within porous media at pore scales using sparse point observations and a novel class of physics-informed neural networks, called "physics-informed PointNet" (PIPN). Taking the advantages of PIPN into acco...
Physical Phenomena Porosity Physics Neural Networks, Computer
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An End-to-End Dynamic Posture Perception Method for Soft Actuators Based on Distributed Thin Flexible Porous Piezoresistive Sensors.

Sensors (Basel, Switzerland) Jul 6, 2023
This paper proposes a method for accurate 3D posture sensing of the soft actuators, which could be applied to the closed-loop control of soft robots. To achieve this, the method employs an array of miniaturized sponge resistive materials along the so...
Robotics Porosity Equipment Design Perception Motion
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High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Accurate estimation of reservoir parameters (e.g., permeability and porosity) helps to understand the movement of underground fluids. However, reservoir parameters are usually expensive and time-consuming to obtain through petrophysical experiments o...
Deep Learning Algorithms Neural Networks, Computer Permeability Porosity
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Evaluation of reproducible cryogel preparation based on automated image analysis using deep learning.

Journal of biomedical materials research. Part A Jun 22, 2023
Cryogels represent a class of porous sponge-like materials possessing unique properties including high-fidelity reproduction of tissue structure and maximized permeability. Their architecture is mainly based on an interconnected network of macropores...
Porosity Deep Learning Cryogels Reproducibility of Results Microscopy, Electron, Scanning Adsorption
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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...
Algorithms Machine Learning Carbonates Porosity Permeability
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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...
Diffusion Sand Neural Networks, Computer Porosity Deep Learning
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