AFLOW4: heading toward disorder
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866911038839980032 |
|---|---|
| author | Divilov, Simon Eckert, Hagen Thiel, Scott D. Griesemer, Sean D. Friedrich, Rico Anderson, Nicholas H. Mehl, Michael J. Hicks, David Esters, Marco Hotz, Nico Campilongo, Xiomara Calzolari, Arrigo Curtarolo, Stefano |
| author_facet | Divilov, Simon Eckert, Hagen Thiel, Scott D. Griesemer, Sean D. Friedrich, Rico Anderson, Nicholas H. Mehl, Michael J. Hicks, David Esters, Marco Hotz, Nico Campilongo, Xiomara Calzolari, Arrigo Curtarolo, Stefano |
| contents | AFLOW4 is the latest iteration of the AFLOW toolkit, specifically tailored to study high-entropy disordered materials. This upgrade includes innovative features like the Soliquidy module, based on the Euclidean transport cost between disordered and ordered material states. AFLOW4 can calculate dielectric functions to understand optical and electronic properties of disordered ceramics. The newly introduced human-readable data export feature ensures the uncomplicated incorporation of AFLOW4 in diverse automated workflows. Features relevant to high-entropy research, like prototype identification, partial occupation method, convex hull calculation, and enthalpy corrections based on local atomic environments, have been improved and exhibit substantial speed-up. Together, these enhancements represent a step forward for AFLOW as a valuable tool for research of high-entropy materials. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_03422 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | AFLOW4: heading toward disorder Divilov, Simon Eckert, Hagen Thiel, Scott D. Griesemer, Sean D. Friedrich, Rico Anderson, Nicholas H. Mehl, Michael J. Hicks, David Esters, Marco Hotz, Nico Campilongo, Xiomara Calzolari, Arrigo Curtarolo, Stefano Materials Science Disordered Systems and Neural Networks Computational Physics AFLOW4 is the latest iteration of the AFLOW toolkit, specifically tailored to study high-entropy disordered materials. This upgrade includes innovative features like the Soliquidy module, based on the Euclidean transport cost between disordered and ordered material states. AFLOW4 can calculate dielectric functions to understand optical and electronic properties of disordered ceramics. The newly introduced human-readable data export feature ensures the uncomplicated incorporation of AFLOW4 in diverse automated workflows. Features relevant to high-entropy research, like prototype identification, partial occupation method, convex hull calculation, and enthalpy corrections based on local atomic environments, have been improved and exhibit substantial speed-up. Together, these enhancements represent a step forward for AFLOW as a valuable tool for research of high-entropy materials. |
| title | AFLOW4: heading toward disorder |
| topic | Materials Science Disordered Systems and Neural Networks Computational Physics |
| url | https://arxiv.org/abs/2507.03422 |