AIMC Topic: Porosity

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Preparation of Multistage Pore TS-1 with Enhanced Photocatalytic Activity, Including Process Studies and Artificial Neural Network Modeling for Synergy Assessment.

Langmuir : the ACS journal of surfaces and colloids Sep 6, 2024
Antibiotic residues have been found in several aquatic ecosystems as a result of the widespread use of antibiotics in recent years, which poses a major risk to both human health and the environment. At present, photocatalytic degradation is the most ...
Water Pollutants, Chemical Catalysis Titanium Wastewater Anti-Bacterial Agents Silicon Photolysis Photochemical Processes Porosity Ciprofloxacin Neural Networks, Computer
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Deep-learning-based pyramid-transformer for localized porosity analysis of hot-press sintered ceramic paste.

PloS one Sep 4, 2024
Scanning Electron Microscope (SEM) is a crucial tool for studying microstructures of ceramic materials. However, the current practice heavily relies on manual efforts to extract porosity from SEM images. To address this issue, we propose PSTNet (Pyra...
Ceramics Aluminum Oxide Deep Learning Microscopy, Electron, Scanning Hot Temperature Porosity
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Osteoinductive biomaterials: Machine learning for prediction and interpretation.

Acta biomaterialia Aug 22, 2024
Biomaterials with osteoinductivity are widely used for bone defect repair due to their unique structures and functions. Machine learning (ML) is pivotal in analyzing osteoinductivity and accelerating new material design. However, challenges include c...
Animals Porosity Osteogenesis Humans Machine Learning Bone Morphogenetic Protein 2 Biocompatible Materials Durapatite
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Predicting ultrasound wave stimulated bone growth in bioinspired scaffolds using machine learning.

Journal of the mechanical behavior of biomedical materials Aug 14, 2024
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have been shown to correlate to increased fracture risk using techniques such as dual-energy x-ray absorptiometry (DXA) and computed tomography (CT). Addit...
Bone Development Machine Learning Tissue Scaffolds Porosity Ultrasonic Waves
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Predicting and refining acid modifications of biochar based on machine learning and bibliometric analysis: Specific surface area, average pore size, and total pore volume.

The Science of the total environment Jul 6, 2024
Acid-modified biochar is a modified biochar material with convenient preparation, high specific surface area, and rich pore structure. It has great potential for application in the heavy metal remediation, soil amendments, and carrying catalysts. Spe...
Bibliometrics Porosity Charcoal Machine Learning Adsorption
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Au-decorated TiCT/porous carbon immunoplatform for ECM1 breast cancer biomarker detection with machine learning computation for predictive accuracy.

Talanta Jul 4, 2024
Electrochemical immunosensors, surpassing conventional diagnostics, exhibit significant potential for cancer biomarker detection. However, achieving a delicate balance between signal sensitivity and operational stability, especially at the heterostru...
Immunoassay Porosity Extracellular Matrix Proteins Limit of Detection Titanium Biosensing Techniques Carbon Gold Metal Nanoparticles Electrochemical Techniques Breast Neoplasms Biomarkers, Tumor Machine Learning Female Humans
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Causal prior-embedded physics-informed neural networks and a case study on metformin transport in porous media.

Water research Jun 22, 2024
This study introduces a novel approach to transport modelling by integrating experimentally derived causal priors into neural networks. We illustrate this paradigm using a case study of metformin, a ubiquitous pharmaceutical emerging pollutant, and i...
Porosity Neural Networks, Computer Metformin Water Pollutants, Chemical
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Deep learning prediction and experimental investigation of specific capacitance of nitrogen-doped porous biochar.

Bioresource technology May 25, 2024
N-doped porous biochar is a promising carbon material for supercapacitor electrodes due to its developed pore structure and high chemical activity which greatly affect the capacitive performance. Predicting the capacitance and exploring the most infl...
Electrodes Electric Capacitance Charcoal Porosity Nitrogen Deep Learning
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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...
Cellulose Porosity Polyvinyl Alcohol Cryogels Polyhydroxyethyl Methacrylate Neural Networks, Computer Machine Learning
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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...
Porosity Hydrodynamics Machine Learning Membranes, Artificial Neural Networks, Computer Distillation Temperature Water Purification Models, Theoretical
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