Emerging applications of biochar: A review on techno-environmental-economic aspects

H Zhu, Q An, ASM Nasir, A Babin, SL Saucedo… - Bioresource …, 2023 - Elsevier
Biomass fast pyrolysis produces bio-oil and biochar achieving circular economy. This review
explored the emerging applications of biochar. Biochar possesses the unique properties for …

Biochar production and its environmental applications: recent developments and machine learning insights

KV Supraja, H Kachroo, G Viswanathan… - Bioresource …, 2023 - Elsevier
Biochar production through thermochemical processing is a sustainable biomass
conversion and waste management approach. However, commercializing biochar faces …

Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review

S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …

Recent studies on the comprehensive application of biochar in multiple environmental fields

Y Liu, Z Weng, B Han, Z Guo, H Tian, Y Tang… - Journal of Cleaner …, 2023 - Elsevier
Multiple environmental pollution appears along with the development of industry and has
become a hot issue that needs to be dealt with and solved. Among various remediation …

[HTML][HTML] Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management

DA Akinpelu, OA Adekoya, PO Oladoye… - Digital Chemical …, 2023 - Elsevier
The thermochemical conversion of biomass is a promising technology due to its cost-
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …

Chemocatalytic production of sorbitol from cellulose via sustainable chemistry–a tutorial review

Y Zhou, RL Smith, X Qi - Green Chemistry, 2024 - pubs.rsc.org
Sorbitol, which is a six carbon polyol typically derived from glucose, is widely used in food,
personal care and pharmaceutical products. Sorbitol production processes that use …

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 …

Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy

VG Nguyen, P Sharma, Ü Ağbulut… - Biofuels, Bioproducts …, 2024 - Wiley Online Library
Biochar is emerging as a potential solution for biomass conversion to meet the ever
increasing demand for sustainable energy. Efficient management systems are needed in …

Optimization-driven modelling of hydrochar derived from fruit waste for adsorption performance evaluation using response surface methodology and machine learning

FA Solih, A Buthiyappan, K Hasikin, KM Aung… - Journal of Industrial and …, 2025 - Elsevier
This study aims to explore the potential of integrating Design of Expert (DOE) with Machine
Learning (ML) to optimize and predict the adsorption process of solid adsorbent The …

Circular supply chain for smart production in Industry 4.0

KY Lin - Computers & Industrial Engineering, 2024 - Elsevier
Sustainable practices in industrial engineering are not just ideal but necessary. The push for
Circular Supply Chain (CSC) in Industry 4.0 has become increasingly vital. Motivated by this …