Designing of high entropy alloys with high hardness: a metaheuristic approach
Abstract The near-infinite compositional space of high-entropy-alloys (HEAs) is a huge resource-intensive task for developing exceptional materials. In the present study, an algorithmic framework has been developed to optimize the composition of an alloy with chosen set of elements, aiming to maximi...
Main Authors: | Ansh Poonia, Modalavalasa Kishor, Kameswari Prasada Rao Ayyagari |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-04-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-024-57094-y |
Similar Items
-
Design of high bulk moduli high entropy alloys using machine learning
by: Manjunadh Kandavalli, et al.
Published: (2023-11-01) -
Design of high bulk moduli high entropy alloys using machine learning
by: Kandavalli, Manjunadh, et al.
Published: (2024) -
Machine learning guided phase and hardness controlled AlCoCrCuFeNi high-entropy alloy design
by: LI Yahao, et al.
Published: (2024-01-01) -
Deep Learning-Based Hardness Prediction of Novel Refractory High-Entropy Alloys with Experimental Validation
by: Uttam Bhandari, et al.
Published: (2021-01-01) -
Machine learning guided BCC or FCC phase prediction in high entropy alloys
by: Zhongping He, et al.
Published: (2024-03-01)