Larsen, Anders S., Rekis, Toms, Madsen, Anders Ø. (2024) PhAI: A deep-learning approach to solve the crystallographic phase problem. Science, 385 (6708) 522-528 doi:10.1126/science.adn2777
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | PhAI: A deep-learning approach to solve the crystallographic phase problem | ||
| Journal | Science | ||
| Authors | Larsen, Anders S. | Author | |
| Rekis, Toms | Author | ||
| Madsen, Anders Ø. | Author | ||
| Year | 2024 (August 2) | Volume | 385 |
| Page(s) | 522-528 | Issue | 6708 |
| Publisher | American Association for the Advancement of Science (AAAS) | ||
| DOI | doi:10.1126/science.adn2777Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 17536703 | Long-form Identifier | mindat:1:5:17536703:2 |
| GUID | 0 | ||
| Full Reference | Larsen, Anders S., Rekis, Toms, Madsen, Anders Ø. (2024) PhAI: A deep-learning approach to solve the crystallographic phase problem. Science, 385 (6708) 522-528 doi:10.1126/science.adn2777 | ||
| Plain Text | Larsen, Anders S., Rekis, Toms, Madsen, Anders Ø. (2024) PhAI: A deep-learning approach to solve the crystallographic phase problem. Science, 385 (6708) 522-528 doi:10.1126/science.adn2777 | ||
| In | (2024, August) Science Vol. 385 (6708) American Association for the Advancement of Science (AAAS) | ||
See Also
These are possibly similar items as determined by title/reference text matching only.
