Crystal fingerprint space--a novel paradigm for studying crystal-structure sets.

By Mario Valle, Artem R. Oganov. 2010

81 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Chen Zhu
2. Francesco Camastra
3. Antonino Staiano
4. Tom Goldstein

In Materials Chemistry

1. Francesco Camastra
2. Antonino Staiano

In Molecular Biology

1. Antonino Staiano
2. Micah Goldblum
3. Francesco Camastra
4. Tom Goldstein
5. Hongyuan Zha
6. Tong Lin

Citations in the corpus

• The Intrinsic Dimension of Images and Its Impact on Learning (2021, background): “In applications, such as crystallography, computer graphics, and ecology, practitioners depend on data having low intrinsic dimension (Valle & Oganov, 2010; Desbrun et al., 2002; Laughlin, 2014).”
• Intrinsic dimension estimation: Advances and open problems (2016, methodology): “It is worth mentioning that Oganov and Valle [95] used Camastra–Vinciarelli’s algorithm to estimate ID of high dimensional Crystal Fingerprint spaces [73].”