**About this Abstract** |

**Meeting** |
**3rd World Congress on High Entropy Alloys (HEA 2023)
** |

**Symposium
** |
**HEA 2023
** |

**Presentation Title** |
Quantifying Short-range Order and its Domain Size in High-entropy Alloys |

**Author(s)** |
Rodrigo Freitas |

**On-Site Speaker (Planned)** |
Rodrigo Freitas |

**Abstract Scope** |
Complete characterization of short-range order is challenging to realize because of the sheer number of local chemical configurations that must be accounted for. Moreover, the chemical complexity of concentrated solid-solution phases is often described as the tendency for some of these configurations to be more common than others (i.e., "slightly less random than completely random"), which does not translate easily into a physically intuitive and quantifiable picture. In this talk I will introduce an approach that combines statistical mechanics and information theory with machine learning techniques to quantify the space of local chemical configurations available for high-entropy alloys. I will show that this approach leads to a predictive framework for evaluation of short-range order domain sizes. |

**Proceedings Inclusion?** |
Planned: Metallurgical and Materials Transactions |