The event aims to bring together the local scientific community on machine learning, high throughput calculations, data mining, and natural language processing applied to materials science. In addition, researchers from outside Brazil will also participate, to cover research topics being studied in their institutions, giving a broader view to the local community. Various applications of machine learning for materials will be tackled during the event, such as:
- quantum materials;
- high entropy alloys;
- descriptors for molecules;
- machine-learned potentials;
- materials for energy;
- two-dimensional materials among others.
Being one of the first events in this area in the country, the main objective is to consolidate the area of machine learning for materials in Brazil, bringing together the local community, creating an environment for possible interdisciplinary collaborations. The event covers three days, the first two being seminars for the academic community, where external participants are welcome to participate either online or in-person at Ilum (limited to a maximum of 80 people). The third day is focused on the Ilum students, with undergrad-level tutorials; thus, the external participants will be able to follow only online.