Published April 27, 2023
| Version v1
Dataset
Open
Data and code for "Brilliant whiteness in shrimp from ultra-thin layers of birefringent nanospheres"
Creators
- 1. Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel.
- 2. Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 7610001, Israel;
- 3. Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, U.K; Department of Applied Physics, Aalto University School of Science, Puumiehenkuja 2, 02150 Espoo, Finland.
- 4. Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel; Present address: College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China.
- 5. Ilse Katz Institute for Nanoscale Science & Technology, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel.
- 6. Department of Physics, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, 208016, India
- 7. Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, U.K.
- 8. Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot, 7610001, Israel.
- 9. Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, U.K.; Department of Physics, University of Fribourg, Chemin du Musée 3, 1700 Fribourg, Switzerland
- 10. Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, 8410501, Israel
Description
Data and code for "Brilliant whiteness in shrimp from ultra-thin layers of birefringent nanospheres"
Notes
Files
code.zip
Additional details
Related works
- Is cited by
- Journal article: 10.1038/s41566-023-01182-4 (DOI)
Funding
- CRYSTALEYES – Biogenic Organic Crystals: From Crystal Formation to Genetically Engineered Optical Materials 852948
- European Commission
- Cellulose scattering enhancers for the replacement of Titania nanoparticles 40B1-0_198708
- Swiss National Science Foundation
- MALDIP – Machine Learning in Disordered Photonics 893136
- European Commission