Deep learning-assisted attribute prediction of chalcogenide glasses based on graph classification
Abstract Chalcogenide glasses, renowned for their exceptional optoelectronic properties, have become the material of choice for numerous microelectronic and optical devices. With the rapid development of artificial intelligence technologies in the field of materials science, researchers have increas...
Saved in:
| Main Authors: | Hui Li, Pan Liu, Shaoyun Liu, Bin Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04391-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses
by: Miruna-Ioana Belciu, et al.
Published: (2025-04-01) -
Thermal and Dielectric Studies On Ge10se69tl21 Chalcogenide Glass
by: B.J. Madhu, et al.
Published: (2011-01-01) -
A New Design of As2Se3â Chalcogenide Glass Photonic Crystal Fiber with Ultra-Flattened Dispersion in Mid-Infrared
by: Mahmood Seifouri, et al.
Published: (2024-02-01) -
Structural and Substructural Properties of the Zinc and Cadmium Chalcogenides Thin Films (a Review)
by: C.J. Panchal, et al.
Published: (2011-01-01) -
First-principles investigation of structural, electronic, optical, and thermoelectric properties of Li2X (X = Te, Se, S) chalcogenides for energy and optoelectronic applications
by: Muhammad Uzair, et al.
Published: (2025-08-01)