Artificial Intelligence

   

Machine Learning Metal Compounds

Authors: George Rajna

"Machine learning will be super-useful in figuring out the important design parameters for a transition metal complex that will make each step in that process energetically favorable." [26] A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. [25] Researchers have mathematically proven that a powerful classical machine learning algorithm should work on quantum computers. [24] Researchers at Oregon State University have used deep learning to decipher which ribonucleic acids have the potential to encode proteins. [23]

Comments: 46 Pages.

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Submission history

[v1] 2019-08-02 06:29:28

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