Data Science Methods for Disordered Materials (2023)


Description:

Disordered materials, such as inorganic glasses, polymer glasses, cement hydrates, amorphous membrane, metal-organic framework glasses, and gels, are critical to our sustainable future. Their design has traditionally been done using the time-consuming and inefficient “trial-and-error” approach. However, new approaches relying on artificial intelligence, machine learning, and topological data analysis offer opportunities for accelerating the discovery of advanced disordered materials. For the planned Ph.D. course, we will introduce data science methods relevant to disordered materials, including various types of machine learning algorithms, data mining and natural language processing methods, persistent homology and so. 

Several distinguished lecturers will be invited to present the fundamental principles of these methods as well as their recent progress in translating this knowledge into applications with relevance for new material development. 

The students will communicate with both fellow students and lecturers, read the pre-assigned literature, and do assignments from lecturers through group work.

Organizer:  Professor Morten M. Smedskjær, mos@bio.aau.dk
                    Professor Yuanzheng Yue, yy@bio.aau.dk

Lecturers:    External speakers

ECTS:           2

Time:           August 16 - 18 2023

Place:           Department of Chemistry and Bioscience, Aalborg University (AAU), Fredrik Bajers Vej 7H, DK-9220 Aalborg, Denmark

City:              Aalborg

Number of seats:   Ca. 25 (AAU) and 5-10 (Non-AAU) (total 30)

Deadline:     July 3

Important information concerning PhD courses:

We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3.000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.