Rapid material discovery with machine learning скачать в хорошем качестве

Rapid material discovery with machine learning

Sherif Abbas of RMIT University delivered a talk titled "Rapid material discovery with machine learning" at the Exciton Science Summer Seminar in February 2021. Abstract A major challenge in materials science is to find the right material for a given task. The space of possible new materials is endless, and researchers around the world have been populating online materials databases with millions of materials along with their predicted properties. Therefore, if an experimentalist is looking for a material with a particular set of requirements, it is in principle possible to find a material that could nearly match those requirements by searching the databases. The databases have been quite useful: many of the materials in these databases have been predicted to be potential candidates for applications in many areas such as photonics, medicine, superconductivity, energy and programmable materials.