Advances in machine learning for high value-added applications of lignocellulosic biomass

H Ge, J Zheng, H Xu - Bioresource Technology, 2023 - Elsevier
Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …

[HTML][HTML] Effect of pyrolysis temperature on the physiochemical properties of biochar and its potential use in anaerobic digestion: a critical review

MJ Bardi, JM Mutunga, H Ndiritu, K Koch - Environmental Technology & …, 2023 - Elsevier
A comprehensive study was conducted to assess the influence of pyrolysis temperature
(PyT) on the properties of biochar (BC) and its potential application in anaerobic digestion …

Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion

Y Zhang, Y Feng, Z Ren, R Zuo, T Zhang, Y Li… - Bioresource …, 2023 - Elsevier
The ideal conditions for anaerobic digestion experiments with biochar addition are
challenging to thoroughly study due to different experimental purposes. Therefore, three tree …

Impacts of biochar derived from oil sludge on anaerobic digestion of sewage sludge: Performance and associated mechanisms

L Feng, T Hu, H Ma, Z Gao, Y Liu, S He, J Ding… - Journal of Cleaner …, 2023 - Elsevier
The addition of biochar is a promising strategy to improve methane production via
strengthening direct interspecies electron transfer (DIET) in anaerobic digestion (AD) field. In …

Machine learning applications for biochar studies: A mini-review

W Wang, JS Chang, DJ Lee - Bioresource technology, 2024 - Elsevier
Biochar is a promising carbon sink whose application can assist in reducing carbon
emissions. Development of this technology currently relies on experimental trials, which are …

Carbon capture, utilization and sequestration systems design and operation optimization: Assessment and perspectives of artificial intelligence opportunities

EG Al-Sakkari, A Ragab, H Dagdougui… - Science of The Total …, 2024 - Elsevier
Carbon capture, utilization, and sequestration (CCUS) is a promising solution to
decarbonize the energy and industrial sector to mitigate climate change. An integrated …

A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

P Zhang, T Zhang, J Zhang, H Liu, C Chicaiza-Ortiz… - Carbon Neutrality, 2024 - Springer
The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD)
for bioenergy recovery offers a sustainable approach to advance sustainable energy and …

Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach

I Salahshoori, MAL Nobre, A Yazdanbakhsh… - Journal of Molecular …, 2024 - Elsevier
Heavy metals pose a significant threat to ecosystems and human health because of their
toxic properties and their ability to bioaccumulate in living organisms. Traditional removal …

Interpretable ensemble prediction for anaerobic digestion performance of hydrothermal carbonization wastewater

Z Ma, R Wang, G Song, K Zhang, Z Zhao… - Science of The Total …, 2024 - Elsevier
Hydrothermal carbonization (HTC) is a method to improve fuel quality that can directly treat
wet solid waste, but the treatment produces large amounts of wastewater. Hydrothermal …

Machine learning approach for predicting anaerobic digestion performance and stability in direct interspecies electron transfer-stimulated environments

G Baek, C Lee, J Yoon - Biochemical Engineering Journal, 2023 - Elsevier
Direct interspecies electron transfer (DIET) stimulation in anaerobic digestion (AD)
processes by adding conductive materials has been reported to improve process stability …