This shareable PDF can be hosted on any platform or network and is fully compliant with publisher copyright.
This publication has not yet been explained in plain language by the author(s). However, you can still read the publication.
If you are one of the authors, claim this publication so you can create a plain language summary to help more people find, understand and use it.
This page is a summary of: A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters, The Journal of Chemical Physics, July 2020, American Institute of Physics,
DOI: 10.1063/5.0009933.
You can read the full text:
The following have contributed to this page
