May 17, 2019 article Open access Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks npj Computational Materials DOI: 10.1038/s41524-019-0196-x Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 333 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Learning Self-Supervised Representations of Powder-Diffraction Patterns 2025 Crystals article Materials Science Machine Learning in Materials Science Open access 3 citations Machine Learning‐Enabled Tomographic Imaging of Chemical Short‐Range Atomic Ordering 2024 Advanced Materials article Engineering Advanced Materials Characterization Techniques Open access 23 citations Can unsupervised machine learning boost the on-site analysis of in situ synchrotron diffraction data? 2022 Scripta Materialia article Materials Science Machine Learning in Materials Science Open access 6 citations 3 results References 0