A research team from the University of Valencia's ICMool (Institute of Molecular Science) came up with a platform that is open, interactive, and capable of bringing together and offering around 20,000 different data. Such data is connected to molecular nanomagnet chemical design in the specific area of magnetic memories.
SIMDAVIS Platform
According to Nanowerk, such a device is called SIMDAVIS. The application results from manual research tracking efforts released by the scientific community for more than 16 years.
Molecular nanomagnets refer to minute physical structures and systems that can present magnetic memories within a particular molecule. Because of their unending configurability and quantum behavior, they come in handy in fundamental research. Beyond that, they are also helpful in probable applications across quantum technology fields.
Even if data science has already had groundbreaking findings in chemical research and new material design, chemical intuition and chance still play primary roles in molecular nanomagnets.
Over 20,000 Physical and Chemical Data Compiled
The recent study was included in Nature Communications. As part of the study, there is a compilation of over 20,000 physical and chemical data on nanomagnet catalogs based on lanthanide. Such chemical elements have optical and magnetic properties that are quite interesting. It also covers over 1,400 experiments performed from 2003 to 2019.
Other than that, the researchers also came up with the said interactive application SIMDAVIS, which stands for Single Ion Magnet Data Visualization), to help process and visualize gathered data. The big data instrument is directed toward magnetic nanostructure and nanomagnet chemical designs. The field of the magnetic nanostructure, specifically, is of particular interest when it comes to the future of electronics, quantum devices, computing, biomedicine, and other fields.
According to the project head and CIDEGENT researcher of ICMol, Alejandro Gaita-Ariño, making the data available to the scientific community enables a further general understanding of research results. It can also help expand scientific views and give more accurate conclusions. Gaita-Ariño also notes how analyzing the negative and positive results enables a better understanding of the materials and provides inputs that could further refine current there and help push new ones.
According to My Science, the research of the Gaita-Ariño team from the ICMol focuses on molecular magnetism and computing. This is both under the framework of the Molecular Materials Research Unit.
Aside from the group from ICMol, the Oak Ridge National Laboratory of USA has also participated in such research efforts. The statistics sector of the SCSIE (Central Support Service for Experimental Research) at the University of Valencia has also collaborated in such endeavors.
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