RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis

Jiangkuan Xing, Ryoichi Kurose, Kun Luo, Jianren Fan

Open source

DOI
10.1016/j.biortech.2022.127275
Published
2022-07
Container
Bioresource Technology
Publisher
Elsevier BV
Open access
unknown

Credibility signals

serious concern Score 29/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.biortech.2022.127275,
  title = {RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis},
  author = {Jiangkuan Xing and Ryoichi Kurose and Kun Luo and Jianren Fan},
  year = {2022},
  journal = {Bioresource Technology},
  doi = {10.1016/j.biortech.2022.127275},
  url = {https://doi.org/10.1016/j.biortech.2022.127275}
}

RIS

TY  - JOUR
TI  - RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis
AU  - Jiangkuan Xing
AU  - Ryoichi Kurose
AU  - Kun Luo
AU  - Jianren Fan
PY  - 2022
JO  - Bioresource Technology
DO  - 10.1016/j.biortech.2022.127275
UR  - https://doi.org/10.1016/j.biortech.2022.127275
ER  - 

APA

Xing, J., Kurose, R., Luo, K., & Fan, J. (2022). RETRACTED: Chemistry-Informed Neural Networks modelling of lignocellulosic biomass pyrolysis. Bioresource Technology. https://doi.org/10.1016/j.biortech.2022.127275

Source records