AIMC Topic: Porosity

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Hybrid machine learning model based predictions for properties of poly(2-hydroxyethyl methacrylate)-poly(vinyl alcohol) composite cryogels embedded with bacterial cellulose.

Journal of chromatography. A May 19, 2024
Supermacroporous composite cryogels with enhanced adjustable functionality have received extensive interest in bioseparation, tissue engineering, and drug delivery. However, the variations in their components significantly impactfinal properties. Thi...
Polyvinyl Alcohol Cryogels Porosity Polyhydroxyethyl Methacrylate Neural Networks, Computer Machine Learning Cellulose
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Investigation of direct contact membrane distillation (DCMD) performance using CFD and machine learning approaches.

Chemosphere Apr 9, 2024
Direct Contact Membrane Distillation (DCMD) is emerging as an effective method for water desalination, known for its efficiency and adaptability. This study delves into the performance of DCMD by integrating two powerful analytical tools: Computation...
Neural Networks, Computer Temperature Models, Theoretical Machine Learning Water Purification Hydrodynamics Porosity Membranes, Artificial Distillation
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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...
Polysorbates Biodegradation, Environmental Pseudomonas aeruginosa Soil Microbiology Soil Pollutants Surface-Active Agents Porosity 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 Neural Networks, Computer Porosity
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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...
Bone and Bones Artifacts Deep Learning Image Processing, Computer-Assisted Porosity Zebrafish Humans Animals
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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...
Humans Neural Networks, Computer Porosity
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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...
Porosity Physics Physical Phenomena 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...
Porosity Motion Equipment Design Robotics Perception
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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...
Permeability Algorithms Porosity Deep Learning Neural Networks, Computer
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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 Reproducibility of Results Microscopy, Electron, Scanning Adsorption Cryogels
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