De la Flor

Oct 1, 2024 | onlinelibrary.wiley.com | De la Flor |Departamento de Física

In order to reduce the number of potential symmetries generated by the program, different filters can be applied based on different criteria. These filters can be introduced on the first input page and serve to narrow down the enumeration process. We stress that these filters are applied after the program obtains the full list of subgroups, which is done mathematically without any filter. This means that the application of any of the filters does not reduce the computing time.

Sep 20, 2024 | onlinelibrary.wiley.com | De la Flor |Departamento de Física |Facultad de Química

The pandemic of 2020 caused a sudden change in every aspect of our lives, transforming how we interact and socialize with others, as well as revolutionizing our way of working. The field of education was not exempt from this change, as educators were forced to transition their classes from in-person to remote learning.

May 31, 2024 | onlinelibrary.wiley.com | De la Flor

Subperiodic groups, line groups and their applications Gemma de la Flora* and Ivanka Miloševićb* aInstitute of Applied Geosciences, Karlsruhe Institute of Technology, Karlsruhe, Germany, and bFaculty of Physics, University of Belgrade, Studentski trg 12, 11001 Belgrade, Serbia*Correspondence e-mail: [email protected], [email protected] Edited by S.

Dec 1, 2023 | journals.iucr.org | De la Flor

The International Tables Symmetry Database (https://symmdb.iucr.org/), which is part of International Tables for Crystallography, is a collection of individual databases of crystallographic space-group and point-group information with associated programs. The programs let the user access and in some cases interactively visualize the data, and some also allow new data to be calculated `on the fly'.

Nov 29, 2023 | onlinelibrary.wiley.com | De la Flor |Departamento de Física

Aljazzar, H. & Leue, S. (2011). Artif. Intell. 175, 2129–2154. CrossRef Google Scholar Arribas, V., Casas, L., Estop, E. & Labrador, M. (2014). Comput. Geosci. 62, 53–61. Web of Science CrossRef Google Scholar Bärnighausen, H. (1980). MATCH Commun. Math. Comput. Chem. 9, 139–175. Google Scholar Capillas, C., Perez-Mato, J. M. & Aroyo, M. I. (2007). J. Phys. Condens. Matter, 19, 275203. Web of Science CrossRef Google Scholar Flack, H. D. (2003). Helv. Chim. Acta, 86, 905–921.   CrossRef CAS Google Scholar Ghosh, S. & Reddy, C.