AIMC Topic: Carbon

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Transition from sulfur autotrophic to mixotrophic denitrification: Performance with different carbon sources, microbial community and artificial neural network modeling.

Chemosphere Sep 30, 2024
To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into ...
Sodium Acetate Heterotrophic Processes Sulfur Autotrophic Processes Denitrification Nitrates Bioreactors Methanol Glucose Microbiota Nitrogen Neural Networks, Computer Carbon
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Carbon dot unravels accumulation of triterpenoid in Evolvulus alsinoides hairy roots culture by stimulating growth, redox reactions and ANN machine learning model prediction of metabolic stress response.

Plant physiology and biochemistry : PPB Sep 27, 2024
Evolvulus alsinoides, a therapeutically valuable shrub can provide consistent supply of secondary metabolites (SM) with pharmaceutical significance. Nonetheless, because of its short life cycle, fresh plant material for research and medicinal diagnos...
Quantum Dots Triterpenes Stress, Physiological Oxidation-Reduction Plant Roots Neural Networks, Computer Oxidative Stress Carbon Machine Learning
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Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems.

Journal of environmental management Sep 20, 2024
Climate change and rapid urbanization are dramatically altering coastal ecosystems worldwide, with significant implications for land surface temperatures (LST) and carbon stock concentration (CSC). This study investigates the impacts of day and night...
Ecosystem Carbon Climate Change Machine Learning Algorithms Carbon Sequestration Bangladesh Urbanization
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AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.

Environmental science and pollution research international Sep 17, 2024
This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carbon neutrality by addressing gaps in the existing research. The research focuses on understanding how...
Carbon Pakistan Conservation of Natural Resources Humans Artificial Intelligence
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Machine learning constructs the microstructure and mechanical properties that accelerate the development of CFRP pyrolysis for carbon-fiber recycling.

Waste management (New York, N.Y.) Sep 10, 2024
The increasing use of carbon-fiber-reinforced plastic (CFRP) has led to its post-end-of-life recycling becoming a research focus. Herein, we studied the macroscopic and microscopic characteristics of recycled carbon fiber (rCF) during CFRP pyrolysis ...
Recycling Pyrolysis Plastics Carbon Fiber Machine Learning Carbon
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Leveraging experimental and computational tools for advancing carbon capture adsorbents research.

Environmental science and pollution research international Sep 3, 2024
CO emissions have been steadily increasing and have been a major contributor for climate change compelling nations to take decisive action fast. The average global temperature could reach 1.5 °C by 2035 which could cause a significant impact on the e...
Machine Learning Carbon Dioxide Climate Change Carbon Sequestration Adsorption Carbon
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Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste.

Scientific reports Aug 30, 2024
The presence of toxic chemicals in water, including heavy metals like mercury and lead, organic pollutants such as pesticides, and industrial chemicals from runoff and discharges, poses critical public health and environmental risks leading to severe...
Biomass Deep Learning Water Pollutants, Chemical Neural Networks, Computer Water Purification Nitrophenols Adsorption Carbon
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Thermodynamics and explainable machine learning assist in interpreting biodegradability of dissolved organic matter in sludge anaerobic digestion with thermal hydrolysis.

Bioresource technology Aug 28, 2024
Dissolved organic matter (DOM) is essential in biological treatment, yet its specific roles remain incompletely understood. This study introduces a machine learning (ML) framework to interpret DOM biodegradability in the anaerobic digestion (AD) of s...
Nitrogen Biodegradation, Environmental Machine Learning Carbon Sewage Organic Chemicals Anaerobiosis Hydrolysis Thermodynamics
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G20 roadmap for carbon neutrality: The role of Paris agreement, artificial intelligence, and energy transition in changing geopolitical landscape.

Journal of environmental management Aug 6, 2024
The rapid advancement of artificial intelligence (AI) in the 21st century is driving profound societal changes and playing a crucial role in optimizing energy systems to achieve carbon neutrality. Most G20 nations have developed national AI strategie...
Carbon Paris Artificial Intelligence Agriculture
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Low-carbon wastewater treatment and resource recovery of recirculating aquaculture system by immobilized chlorella vulgaris based on machine learning optimization.

Bioresource technology Aug 3, 2024
Immobilized microalgae biotechnologies can conserve water and space by low-carbon wastewater treatment and resource recovery in a recirculating aquaculture system (RAS). However, technical process parameters have been unoptimized considering the mutu...
Biomass Aquaculture Nitrogen Microalgae Carbon Machine Learning Wastewater Water Purification Chlorella vulgaris Alginates Cells, Immobilized
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