Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties
Abstract The multifaceted effects of the presence of thiophenic compounds on the environment are significant and cannot be overlooked. As heterocyclic compounds, thiophene and its derivatives play a significant role in materials science, particularly in the design of organic semiconductors, pharmace...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-09600-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|