Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
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1. Critical insights into ensemble learning with decision trees for the prediction of biochar yield and higher heating value from pyrolysis of biomass;Bioresource Technology;2024-11
2. Predictive modeling for multifaceted hydrothermal carbonization of biomass;Journal of Environmental Chemical Engineering;2024-10
3. Accelerating integrated prediction, analysis and targeted optimization for anaerobic digestion of biomass after hydrothermal pretreatment using automated machine learning;Renewable and Sustainable Energy Reviews;2024-09
4. The role of biochar nanomaterials in the application for environmental remediation and pollution control;Chemical Engineering Journal;2024-07
5. Assessment of fuel characteristics and combustion dynamics of hydrochar produced via hydrothermal carbonization of brown algal biomass;Biomass Conversion and Biorefinery;2024-06-15
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