HIGHLIGHTS
- who: Hasan Kurban from the State University have published the research work: Rapidly predicting Kohn-Sham total energy using data-centric AI, in the Journal: Scientific Reports Scientific Reports
- how: The performance comparison of traditional ML models and cooperative model over the training data is presented in Fig 7.
- future: It remains for future work how if even possible the authors can make some human-interpretable sense of the computation.
SUMMARY
Ellis et_al56 introduces an ML based framework, where the feed-forward neural_network is used, to speed up DFT . . .
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