HIGHLIGHTS
- who: TYPE et al. from the University of Greifswald, Germany have published the article: A critical review on machine-learning-assisted screening and design of effective sorbents for carbon dioxide (CO ) capture, in the Journal: (JOURNAL)
- what: As the primary goal of most ML-based explorations is examining potential materials instead of practical operation conditions, self-generated data may be preferred to ensure their integrity and consistency. As for unsupervised learning, unlabeled input descriptors were involved, that is, the output values remaining unclarified in this case, and the primary goal of learning in this case . . .
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