Work

RHEA-MOBO: v0.1.0

Year: 2026

Type: software

Abstract: Cost-aware multi-objective Bayesian optimization for composition design of refractory high-entropy alloys (RHEAs).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22258223

Authors: Islam, Md Shafiqul, Sarıtürk, Doğuhan

Language: English

Topic: High Entropy Alloys Studies

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7206214702

Cites:

Cited by:

Related to: 10