A group from the Institute of Molecular Sciences (ICMol) of the University of Valencia has created an open platform (Open source data science tools to improve chemical design developed) that collects and facilitates the science of around 20,000 data related to the chemistry of molecular nanomagnets with a special interest in the field of magnetic memory. SIMDAVIS, this is the name of the application, was born from the analysis of the results of research published by scientists for sixteen years.
Molecular nanomagnets are small physical systems that can exhibit magnetic fields within a single molecule. Their quantum behavior and infinite structure, among other things, make them useful for important studies, but also for potential applications in the field of quantum technology. Although data science has already paved the way for chemical research and innovation, in the case of molecular nanomagnets, access to chemical influences continues to play a key role.
In order to establish a powerful system for the production of chemicals based on statistics, a team from the University of Valencia has just published an article in Nature Communications that collects 20,000 chemical data (Open source data science tools to improve chemical design developed) on tissues and nanomagnets based on lanthanide – a chemical substance with magnetic and optical properties. Features -; listed more than 1,400 experiments published between 2003 and 2019, and created an interactive panel – SIMDAVIS (Single Ion Magnet DAta VISualisation) – for checking and organizing the collected data. It is a large data device aimed at the creation of chemical nanomagnets and magnetic nanostructures, areas of interest for the future of computers, electronics, quantum devices or biomedicine, among others.
“Making the data available to scientists helps to understand the results of the research in general, to expand the scientific perspective and to provide the right conclusions,” said Alejandro Gaita-Ariño, CIDEGENT researcher at ICMol and project leader project says. “Analyzing both good and bad things helps us understand the things being studied and provides information to improve existing ideas and create new ones,” says the scientist.
The Gaita-Ariño group at the Molecular Sciences Institute focuses its research in the area of molecular magnetism and quantum computing, within the Molecular Research Unit. In addition to the ICMol group, Oak Ridge National Laboratory (USA) participated in the study. The project has the collaboration of the statistical department of the Central Support Service for Experimental Research (SCSIE) of the University of Valencia.
