Density functional theory for computational materials design

We continue the series of educational courses on Deep Tech and using AI and ML in materials science. We invite you to the fourth course of the BOOSTalent project - «Density functional theory for computational materials design». This is the first course in a series on quantum mechanical calculations of materials. In this course, we will delve into the Density Functional Theory (DFT), a theory widely used for material property calculations in materials science, biochemistry, drug discovery, solar cells, batteries, and many other fields. This course is purely theoretical but crucial for proceeding to practical courses in quantum mechanical calculations.

• when: from 20 of November till 11 of December, 2023;
• who: Oleh Feia, PhD, Laboratory of Data Science and Machine Learning, department of Electronic Structure and Electronic Properties of Institute of Metal Physics;
• language: English;
• where: five online lectures via educational platform www.eduportal.kau.edu.ua ;
• сomplexity: This is a basic course aimed at providing an understanding of the theory of quantum mechanical calculations. Previous knowledge of quantum physics at the undergraduate level is welcomed
• registration: please, fill in the registration form. After that, you will get instructions on how to register for www.eduporta.kau.edu.ua and be enrolled on the course.

You can meet the lecturer and learn the course structure from this short video:

The course is free. All students will receive certificates with the amount of ECTS credits on completing the course. 

The Deep Tech courses are delivered to you by the Kyiv Academic University as a part of the BOOSTalent project and CloudEARTHi initiative.