Functional carbon from nature: biomass‐derived carbon materials and the recent progress of their applications

H He, R Zhang, P Zhang, P Wang, N Chen… - Advanced …, 2023 - Wiley Online Library
Biomass is considered as a promising source to fabricate functional carbon materials for its
sustainability, low cost, and high carbon content. Biomass‐derived‐carbon materials (BCMs) …

[HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review

H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com
Thermochemical treatment is a promising technique for biomass disposal and valorization.
Recently, machine learning (ML) has been extensively used to predict yields, compositions …

Bottom-up hydrothermal carbonization for the precise engineering of carbon materials

Y Gong, L **e, C Chen, J Liu, M Antonietti… - Progress in Materials …, 2023 - Elsevier
Hydrothermal carbonization (HTC) of carbohydrates in general has been reported as a
sustainable and green technique to produce novel carbon materials. Traditional HTC of …

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

W Zhang, R Chen, J Li, T Huang, B Wu, J Ma, Q Wen… - Biochar, 2023 - Springer
Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …

[HTML][HTML] Recent advances in synthesis, characterization, and environmental applications of activated carbons and other carbon derivatives

IK Tetteh, I Issahaku, AY Tetteh - Carbon Trends, 2024 - Elsevier
The historicity and versatility of activated carbons (ACs) and other carbon derivatives
(OCDs) date back to antiquity. This article reviews the recent advances in synthesis …

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 …

Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review

HSH Wang, Y Yao - Resources, Conservation and Recycling, 2023 - Elsevier
Biomass-derived materials (BDM) have broad applications in water and agricultural
systems. As an emerging tool, Machine learning (ML) has been applied to BDM systems to …

Smart sustainable biorefineries for lignocellulosic biomass

AB Culaba, AP Mayol, JLG San Juan, CL Vinoya… - Bioresource …, 2022 - Elsevier
Lignocellulosic biomass (LCB) is considered as a sustainable feedstock for a biorefinery to
generate biofuels and other bio-chemicals. However, commercialization is one of the …

Development of Predictive Models for Activated Carbon Synthesis from Different Biomass for CO2 Adsorption Using Artificial Neural Networks

H Mashhadimoslem, M Vafaeinia… - Industrial & …, 2021 - ACS Publications
Modeling the interactions between CO2 uptake and different parameters of activated carbon
(AC) adsorbent synthesis in biomass types can be a way to create efficient adsorbents for …

Applications of artificial intelligence‐based modeling for bioenergy systems: A review

M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …