Prediction of the crystal structure of avadomide using machine learning potentials and crystal engineering
Today, machine learning (ML) and crystal structure prediction (CSP) guided by crystal engineering (CE) are principal tools in computational materials discovery.
Authors
- Alireza Salimi (ORCID: https://orcid.org/0000-0003-0413-2185)
- Артем Ромаевич Оганов (ORCID: https://orcid.org/0000-0001-7082-9728)
- Zahrasadat Momenzadeh Abardeh (ORCID: https://orcid.org/0000-0002-1209-1910)
- Faezeh Bahrami
Institutions
- Skolkovo Institute of Science and Technology (RU)
- Ferdowsi University of Mashhad (IR)
Publication Details
- Journal
- CrystEngComm
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1039/d5ce00849b
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00