Data on Machine Learning Reported by Fenfen Ma and Colleagues (Transferable and Interpretable Prediction of Site-Specific Dehydrogenation Reaction Rate Constant s with NMR Spectra)
Data on Machine Learning Reported by Fenfen Ma and Colleagues (Transferable and Interpretable Prediction of Site-Specific Dehydrogenation Reaction Rate Constant s with NMR Spectra)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsoriginating from Suzhou, People’s Repub lic of China, by NewsRx correspondents, research stated, “Accurateand efficient determination of site-specific reaction rate constants over a wide temperature rangeremains challenging, both experimentally and theoretically. Taking the deh ydrogenation reaction as an example, our study addresses this issue by an innova tive combination of machine learning techniques andcost-effective NMR spectra.”
Key words
Suzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning
NETL
NSTL