AIMC Topic: Porosity

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Integrated evaluation and optimization of acid fracturing effectiveness in carbonate reservoirs: Experimental insights and field validation.

PloS one Jul 16, 2025
The development of carbonate reservoirs is confronted with significant challenges, including pronounced heterogeneity and suboptimal porosity-permeability characteristics. These challenges are particularly acute in low-porosity, low-permeability comp...
Hydraulic Fracking Carbonates Acids Porosity Permeability
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Multimodal Wearable Sensing for Biomechanics and Biomolecules Enabled by the M-MPM/VCFs@Ag Interface with Machine Learning Pipeline.

ACS sensors Jun 6, 2025
The addition sensing device of sweat to wearable biostress sensors would eliminate the need for using multiple gadgets for healthcare analysis. Due to the distinct package fashion of sensor interface for biostress and biomolecule, achieving permeabil...
Biomechanical Phenomena Wearable Electronic Devices Biosensing Techniques Humans Machine Learning Biomarkers Uric Acid Glucose Textiles Silver Membranes, Artificial Lactic Acid Sweat Porosity
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Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.

Biomaterials Apr 16, 2025
Osteoinduction is an important feature of the next generation of bone repair materials. But the key structural factors and parameters of osteoinductive scaffolds are not yet clarified. This study leverages the efficiency of high-throughput screening ...
Tissue Scaffolds Bone Regeneration Ceramics High-Throughput Screening Assays Tissue Engineering Printing, Three-Dimensional Porosity Osteogenesis Calcium Phosphates Biocompatible Materials Humans Machine Learning Animals
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A new approach to bioceramics based on tissue reaction of tricalcium phosphate for biomedical and sport applications using machine learning modeling.

Tissue & cell Apr 2, 2025
Tricalcium phosphate (TCP) bioceramics have emerged as a promising option to meet the specific requirements associated with athlete bone fractures. Advanced computational modeling techniques, such as artificial neural networks (ANNs), have been lever...
Humans Neural Networks, Computer Biocompatible Materials Machine Learning Ceramics Porosity Sports Calcium Phosphates
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Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents.

Scientific reports Mar 12, 2025
This study investigates the utilization of three regression models, i.e., Kernel Ridge Regression (KRR), nu-Support Vector Regression ([Formula: see text]-SVR), and Polynomial Regression (PR) for the purpose of forecasting the concentration (C) of a ...
Porosity Pharmaceutical Preparations Machine Learning Algorithms Computer Simulation Adsorption
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Integrated learning framework for enhanced specific surface area, pore size, and pore volume prediction of biochar.

Bioresource technology Feb 21, 2025
Specific surface area, pore size, and pore volume are essential biochar properties. Optimization typically reduces yield by focusing on per gram of biochar. This work introduces new indicators and an integrated model to balance quality and quantity, ...
Porosity Surface Properties Biomass Machine Learning Adsorption Temperature Charcoal
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Design and optimization of tamarind seed polysaccharide-based scaffold for tissue engineering applications using statistical modeling and machine learning, and it's in-vitro validation.

International journal of biological macromolecules Jan 30, 2025
This study explores the development and optimization of a novel biomaterial scaffold for tissue engineering, composed of Tamarind seed polysaccharide (TSP), Hydroxypropyl methylcellulose (HPMC), Chitosan (CS), and Sodium alginate (ALG). Scaffold prop...
Polysaccharides Humans Wettability Tissue Engineering Machine Learning Tamarindus Neural Networks, Computer Tissue Scaffolds Biocompatible Materials Seeds HeLa Cells Porosity
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Interpretable machine learning reveals transport of aged microplastics in porous media: Multiple factors co-effect.

Water research Jan 12, 2025
Microplastics (MPs) easily migrate into deeper soil layers, posing potential risks to subterranean habitats and groundwater. However, the mechanisms governing the vertical migration of MPs in soil, particularly aged MPs, remain unclear. In this study...
Soil Water Pollutants, Chemical Soil Pollutants Porosity Microplastics Machine Learning
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Computational analysis of controlled drug release from porous polymeric carrier with the aid of Mass transfer and Artificial Intelligence modeling.

Scientific reports Nov 18, 2024
Controlled release of a desired drug from porous polymeric biomaterials was analyzed via computational method. The method is based on simulation of mass transfer and utilization of artificial intelligence (AI). This study explores the efficacy of thr...
Artificial Intelligence Drug Liberation Drug Carriers Delayed-Action Preparations Computer Simulation Polymers Porosity
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A Deep Learning-Based Approach to Characterize Skull Physical Properties: A Phantom Study.

Journal of biophotonics Nov 14, 2024
Transcranial ultrasound imaging is a popular method to study cerebral functionality and diagnose brain injuries. However, the detected ultrasound signal is greatly distorted due to the aberration caused by the skull bone. The aberration mechanism mai...
Phantoms, Imaging Porosity Skull Humans Deep Learning Image Processing, Computer-Assisted
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