Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry.
Saved in:
| Title: | Machine learning for analysis of experimental scattering and spectroscopy data in materials chemistry. |
|---|---|
| Authors: | Anker AS; Department of Chemistry and Nano-Science Center, University of Copenhagen 2100 Copenhagen Ø Denmark kirsten@chem.ku.dk., Butler KT; Department of Chemistry, University College London Gower Street London WC1E 6BT UK., Selvan R; Department of Computer Science, University of Copenhagen 2100 Copenhagen Ø Denmark.; Department of Neuroscience, University of Copenhagen 2200 Copenhagen N Denmark., Jensen KMØ; Department of Chemistry and Nano-Science Center, University of Copenhagen 2100 Copenhagen Ø Denmark kirsten@chem.ku.dk. |
| Source: | Chemical science [Chem Sci] 2023 Nov 22; Vol. 14 (48), pp. 14003-14019. Date of Electronic Publication: 2023 Nov 22 (Print Publication: 2023). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101545951 Publication Model: eCollection Cited Medium: Print ISSN: 2041-6520 (Print) Linking ISSN: 20416520 NLM ISO Abbreviation: Chem Sci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2041-6520 |
|---|---|
| DOI: | 10.1039/d3sc05081e |
