Quantum annealing-assisted lattice optimization
Abstract High Entropy Alloys (HEAs) have drawn great interest due to their exceptional properties compared to conventional materials. The configuration of HEA system is considered a key to their superior properties, but exhausting all possible configurations of atom coordinates and species to find t...
Saved in:
Main Authors: | Zhihao Xu, Wenjie Shang, Seongmin Kim, Eungkyu Lee, Tengfei Luo |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-024-01505-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multidisk Clutch Optimization Using Quantum Annealing
by: D. John Malcolm, et al.
Published: (2024-01-01) -
Routing and scheduling optimization for urban air mobility fleet management using quantum annealing
by: Renichiro Haba, et al.
Published: (2025-02-01) -
Load balancing for high performance computing using quantum annealing
by: Omer Rathore, et al.
Published: (2025-01-01) -
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
by: Enrico Zardini, et al.
Published: (2024-01-01) -
Performance of Quantum Annealing Machine Learning Classification Models on ADMET Datasets
by: Hadi Salloum, et al.
Published: (2025-01-01)