Evaluation of Neural Networks for Improved Computational Cost in Carbon Nanotubes Geometric Optimization
Geometric optimization of carbon nanotubes (CNTs) is a fundamental step in computational simulations, enabling precise studies of their properties for various applications. However, this process becomes computationally expensive as the molecular structure grows in complexity and size. To address thi...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Modelling |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-3951/6/2/36 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!