AIMC Topic: Metals

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Adsorption Energy Prediction Model for CO Reduction on Electrocatalysts Containing Previously Unencountered Metal Elements.

Journal of chemical information and modeling
Electrochemical carbon dioxide reduction (CORR) using electrocatalysts has gained attention for its potential to convert atmospheric CO into value-added chemicals. Recently, machine learning (ML) has emerged as a promising approach for catalyst devel...

Machine learning-based prediction of deep soil metal(loid) contamination in industrial areas: Role of surface environmental factors.

Environmental pollution (Barking, Essex : 1987)
Predicting the distribution of soil contamination is crucial for targeted remediation efforts and risk prevention, especially considering the high costs associated with in-situ contamination surveys. This study proposes a random forest (RF)-based app...

TDMAR-Net: a frequency-aware tri-domain diffusion network for CT metal artifact reduction.

Physics in medicine and biology
Metal implants and other high-density objects cause significant artifacts in computed tomography (CT) images, hindering clinical diagnosis. Traditional metal artifact reduction methods often leave residual artifacts due to sinogram edges discontinuit...

Intelligent Gait Analysis System Enabled by Liquid Metal-Embedded Sponge Triboelectric Sensor Arrays.

ACS applied materials & interfaces
Gait dynamics are pivotal biomarkers for early disease prediction and human health assessment. In this study, we propose an intelligent monitoring system that integrates flexible PDMS/liquid metal sponge triboelectric nanogenerator (PLMFT) arrays wit...

YOLOv11-WBD: A wavelet-bidirectional network with dilated perception for robust metal surface defect detection.

PloS one
In the field of quality control, metal surface defect detection is an important yet challenging task. Although YOLO models perform well in most object detection scenarios, metal surface images under operational conditions often exhibit coexisting hig...

Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W...

Association of urinary metal elements with sarcopenia and glucose metabolism abnormalities: Insights from NHANES data using machine learning approaches.

Ecotoxicology and environmental safety
BACKGROUND: Sarcopenia, a condition marked by the decline of skeletal muscle mass and function, is prevalent in the elderly and closely linked to abnormal glucose metabolism, particularly type 2 diabetes. Hyperglycemia can increase the formation of a...

Semi-scale stirred tank enzymatic bioleaching system for metal recovery from PCBs of end-of-life mobile phones: Process parameter optimization, predictive modelling, and economic assessment.

Waste management (New York, N.Y.)
Biocatalysts like enzymes have proven to be faster and efficient in metal bioleaching from printed circuit boards (PCBs) than microbe-mediated bioleaching. However, studies on enzymatic metal bioleaching from PCBs are mainly confined to the shake-fla...

Parametric-MAA: fast, object-centric avoidance of metal artifacts for intraoperative CBCT.

International journal of computer assisted radiology and surgery
PURPOSE: Metal artifacts remain a persistent issue in intraoperative CBCT imaging. Particularly in orthopedic and trauma applications, these artifacts obstruct clinically relevant areas around the implant, reducing the modality's clinical value. Meta...

Predicting the amount of toxic metals and metalloids in silt loading using neural networks.

Environmental monitoring and assessment
Material deposited on road surfaces, called road dust, are known to contain different toxic elements. According to particle size, there are different fractions. Particles with an aerodynamic size less than or equal to 75 µm are called silt loading. A...