AIMC Topic: Carbon Dioxide

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Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports Aug 6, 2025
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif...
Methane Carbon Dioxide Africa Principal Component Analysis Greenhouse Gases Food Security Nitrous Oxide Climate Change Food Supply Humans Machine Learning
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Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.

Scientific reports Aug 2, 2025
Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a supercritical process for formulating new pharmaceuticals. Atorvastatin, Lovastatin, and Simvastatin are statin drugs with limited solubility and low...
Neural Networks, Computer Simvastatin Atorvastatin Thermodynamics Solubility Hydroxymethylglutaryl-CoA Reductase Inhibitors Machine Learning Carbon Dioxide
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique.

Scientific reports Jun 3, 2025
This study develops and evaluates advanced hybrid machine learning models-ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)-optimized via the Black Widow Optim...
Niflumic Acid Bayes Theorem Carbon Dioxide Solvents Thermodynamics Solubility Algorithms Anti-Inflammatory Agents, Non-Steroidal Machine Learning
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Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Environmental science & technology May 6, 2025
Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes worldwide. Determining how to control both greenhouse gas emissions and water quality decline is a long-term challenge. We compiled data on the annual a...
Lakes Carbon Eutrophication Water Quality Carbon Sequestration Phosphorus Carbon Dioxide
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Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles.

Scientific reports Apr 28, 2025
Artificial Intelligence (AI) is applied in this research for the analysis of a novel green method for production of nanomedicine. The method is based on supercritical solvent for production of drug nanoparticles in which the AI was used to estimate t...
Solvents Pressure Carbon Dioxide Solubility Clobetasol Artificial Intelligence Temperature Nanoparticles
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A sustainable industrial waste control with AI for predicting CO2 for climate change monitoring.

Journal of environmental management Apr 23, 2025
As the challenge of climate change continues to grow, we need creative solutions to predict better and track industrial waste carbon emissions, focusing on sustainable waste management practices. The present study proposes a state-of-the-art Metavers...
Waste Management Climate Change Industrial Waste Artificial Intelligence Environmental Monitoring Carbon Dioxide Neural Networks, Computer
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Improved Solubility Predictions in scCO Using Thermodynamics-Informed Machine Learning Models.

Journal of chemical information and modeling Apr 15, 2025
Accurate solubility prediction in supercritical carbon dioxide (scCO) is crucial for optimizing experimental design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive solubility database...
Carbon Dioxide Solubility Thermodynamics Machine Learning
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Optimization of CO absorption into MDEA-PZ-sulfolane hybrid solution using machine learning algorithms and RSM.

Environmental science and pollution research international Apr 15, 2025
This study presents the modeling and simulation of carbon dioxide (CO₂) absorption in hybrid amine solutions using machine learning algorithms and response surface methodology (RSM). The process was governed by adjustable input parameters, including ...
Machine Learning Algorithms Carbon Dioxide Ethanolamines
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Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation.

Scientific reports Apr 11, 2025
Global warming is one of the most pressing and critical problems facing the world today. It is mainly caused by the increase in greenhouse gases in the atmosphere, such as carbon dioxide (CO). Understanding how soils respond to rising temperatures is...
Global Warming Temperature Soil Carbon Dioxide Climate Change Soil Microbiology Artificial Intelligence Machine Learning
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Machine Learning Accelerated Discovery of Covalent Organic Frameworks for Environmental and Energy Applications.

Environmental science & technology Mar 30, 2025
Covalent organic frameworks (COFs) are porous crystalline materials obtained by linking organic ligands covalently. Their high surface area and adjustable pore sizes make them ideal for a range of applications, including CO capture, CH storage, gas s...
Carbon Dioxide Methane Metal-Organic Frameworks Machine Learning Catalysis
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