AIMC Topic: 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...
Thermodynamics Niflumic Acid Bayes Theorem Carbon Dioxide Solubility Machine Learning Solvents Algorithms Anti-Inflammatory Agents, Non-Steroidal
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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...
Eutrophication Carbon Dioxide Lakes Water Quality Carbon Carbon Sequestration Phosphorus
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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...
Artificial Intelligence Temperature Nanoparticles Pressure Carbon Dioxide Clobetasol Solubility Solvents
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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...
Industrial Waste Waste Management Neural Networks, Computer Artificial Intelligence Carbon Dioxide Environmental Monitoring Climate Change
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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...
Solubility Thermodynamics Machine Learning Carbon Dioxide
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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 ...
Carbon Dioxide Ethanolamines Machine Learning Algorithms
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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...
Artificial Intelligence Machine Learning Soil Microbiology Carbon Dioxide Climate Change Temperature Soil Global Warming
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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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Enhancing process monitoring and control in novel carbon capture and utilization biotechnology through artificial intelligence modeling: An advanced approach toward sustainable and carbon-neutral wastewater treatment.

Chemosphere Mar 17, 2025
Integrating carbon capture and utilization (CCU) technologies into wastewater treatment plants (WWTPs) is essential for mitigating greenhouse gas (GHG) emissions and enhancing environmental sustainability, but further advancements in process monitori...
Photobioreactors Carbon Sequestration Biotechnology Neural Networks, Computer Greenhouse Gases Waste Disposal, Fluid Artificial Intelligence Carbon Wastewater Carbon Dioxide
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Intelligent monitoring of fruit and vegetable freshness in supply chain based on 3D printing and lightweight deep convolutional neural networks (DCNN).

Food chemistry Mar 15, 2025
In this study, an innovative intelligent system for supervising the quality of fresh produce was proposed, which combined 3D printing technology and deep convolutional neural networks (DCNN). Through 3D printing technology, sensitive, lightweight, an...
Food Storage Fruit Vegetables Convolutional Neural Networks Printing, Three-Dimensional Carbon Dioxide
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