Why big data and compute are not necessarily the path to big materials science

HIGHLIGHTS

• who: Naohiro Fujinuma from the Rowan University of Standards and Technology, Bureau Dr, Gaithersburg, MD, USA have published the Article: Why big data and compute are not necessarily the path to big materials science, in the Journal: (JOURNAL) of 17/Dec/2021
• what: The authors propose that the community would be better served to instead use ML as a means to generate scientific understanding using for instance inference techniques to quantify physical constants from experiments.
• future: More accessible tools for exploring new ideas while maintaining traceability reproducibility flexibility interactivity and integration with laboratory . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.