Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst screening
By Jie Li, Lan-jia Pan, M. Suvarna, Xiaonan Wang. 2021
150 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Catalysis
View Paper: https://www.semanticscholar.org/paper/585e09ba53b7d383c3706ab65c0fd224346833a0
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Citations in the corpus
- Artificial intelligence for waste management in smart cities: a review (2023, methodology): “However, there are three main reasons why these methods may not be widely adopted: (1) limited data size and quality can hamper performance (Li et al. 2021b); (2) poor interpretability can make it challenging to extract relevant information (Visser et al. 2022); and (3) heavy computation…”