Abstract
An overview of the virtual collection on machine learning (ML) in crystallography and structural science, as represented in Acta Crystallographica Sections A, B and D, IUCrJ and Journal of Synchrotron Radiation, is presented. Some terms and concepts related to artificial intelligence and machine learning are briefly introduced and described, and a short history of ML in structural science as it appeared in these IUCr journals is given to whet the appetite for the rest of the collection.
| Original language | English |
|---|---|
| Pages (from-to) | 139-145 |
| Number of pages | 7 |
| Journal | Acta Crystallographica Section A: Foundations and Advances |
| Volume | 80 |
| Issue number | Pt 2 |
| DOIs | |
| State | Published - Jan 26 2024 |
Funding
SJLB acknowledges support from the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences (DOE-BES) under contract No. DE-SC0024141. Work at Oak Ridge National Laboratory was sponsored by the Scientific User Facilities Division, Office of Basic Energy Sciences, US Department of Energy.
Keywords
- IUCr Journals
- artificial intelligence
- deep learning
- machine learning
- neural networks