The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
Abstract
In the study, machine learning was used to develop prediction models for yield and carbon contents of biochar (C-char) based on the pyrolysis data of lignocellulosic biomass, and explore inside information underlying the models. The results suggested that random forest could accurately predict biochar yield and C-char according to biomass characteristics and pyrolysis conditions. Furthermore, the relative contribution of pyrolysis conditions was higher than that of biomass characteristics for both yield (65%) and C-char (53%). For biomass characteristics, structural information was more important than elements compositions for accurately predicting biochar yield and it was inverse for C-char. The partial dependence plot analysis showed the impact way of each influential factor on the target variable and the interactions among these factors in the pyrolysis process. The present work provided new insights for understanding pyrolysis process of biomass and improving biochar yield and C-char.
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Prediction of Soil Heavy Metal Immobilization by Biochar Using Machine Learning
Palansooriya, K. N., Li, J., Dissanayake, P. D., Suvarna, M., Li, L., Yuan, X., Sarkar, B., Tsang, D. C. W., Rinklebe, J., Wang, X., et al. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c08302 · Cited by 518
Self-citationHe, H., Zhang, R., Zhang, P., Wang, P., Chen, N., Qian, B., Zhang, L., Yu, J., & Dai, B. (2023) · Advanced Science · doi:10.1002/advs.202205557 · Cited by 432
Wang, L., Ok, Y. S., Tsang, D. C. W., Alessi, D. S., Rinklebe, J., Wang, H., Mašek, O., Hou, R., O'Connor, D., & Hou, D. (2020) · Soil Use and Management · doi:10.1111/sum.12592 · Cited by 393
Cheng, F., Luo, H., & Colosi, L. M. (2020) · Energy Conversion and Management · doi:10.1016/j.enconman.2020.113258 · Cited by 271
Jeyasubramanian, K., Thangagiri, B., Sakthivel, A., Dhaveethu Raja, J., Seenivasan, S., Vallinayagam, P., Madhavan, D., Malathi Devi, S., & Rathika, B. (2021) · Fuel · doi:10.1016/j.fuel.2021.120243 · Cited by 197
Metadata
- Authors
- Zhu, X., Li, Y., & Wang, X.
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 288
- Pages
- 121527
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2946512733
- Cited by
- 431
- References
- 10
- FWCI
- 10.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhu, X., Li, Y., & Wang, X. (2019). Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions. Bioresource Technology. https://doi.org/10.1016/j.biortech.2019.121527
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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