Transformer-based artificial neural networks for the conversion between chemical notations
Abstract We developed a Transformer-based artificial neural approach to translate between SMILES and IUPAC chemical notations: Struct2IUPAC and IUPAC2Struct. The overall performance level of our model is comparable to the rule-based solutions. We proved that the accuracy and speed of computations as...
Saved in:
Main Authors: | , , , |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/1ab182b42dd9410f8a7644dd9fb5bc4f |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|