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 maximize the hardness of the former. The influence of phase on hardness prediction of HEAs was thoroughly examined. This study aims to establish generalized prediction models that aren't confined by any specific set of elements. We trained the HEA identification model to classify HEAs from non-HEAs, the multi-labeled phase classification model to predict phases of HEAs also considering the processing route involved in the synthesis of the alloy, and the hardness prediction model for predicting hardness and opt

SUBMITTER: Poonia A 

PROVIDER: S-EPMC10987542 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature