Digital twins for advanced materials and sustainable structures

Level: advanced

Language: English

Format: online

Course duration: 15 hours (0,5 ECTS)

Target audience: students, postgraduates and teachers in the specialties of materials science, mechanics of deformable solids, mechanical engineering

Registration.

Accessibility: self-study based on video and text materials on the platform eduportal.kau.org.ua, passing the final test;

Lecturer: Doctor of Technical Sciences, Oleksii Milenin, Leading Researcher at the E.O. Paton Institute of Electric Welding of the National Academy of Sciences of Ukraine (Department of mathematical methods for studying physical and chemical processes in welding and special electrometallurgy), Associate Professor of the Department of Applied Physics and Materials Science of the Kyiv Polytechnic University

The course aims to provide participants with a profound understanding of the theoretical foundations, practical implementation, and emerging trends in the integration of digital twins within the realms of advanced materials and sustainable structural design. It helps to bridge the gap between theory and practice, empowering learners to leverage digital twins for the development of innovative materials and environmentally conscious environment.

Required knowledge:

basic knowledge of AI and ML algorithms, physics of continuous media, materials science, mechanics of materials, principles of design and operation of typical structures and components. 

Skills acquired:

Upon course completion, participants will gain a multifaceted skill set covering both theoretical understanding and practical implementation. This includes grasping the principles of industry revolutions and sustainable economic approaches, comprehending the concept of digital twins and their application, familiarizing themselves with the typical principles governing the design, operation, and maintenance of sustainable infrastructure, understanding the Materials 4.0 concept and its analogy to the development of materials during industrial revolutions, and acquiring knowledge of the characteristic features required to implement a component of digital twins for Materials 4.0.

You can learn more about the course and the teacher in this video

The course is free of charge. After completing the course, all participants who complete the program and pass the test will receive certificates with ECTS credits (0.5 credits).

The course is a part of the BOOSTalent project. The BOOSTalent Project brings together an eight-partner consortium, comprised of five HEIs and three business partners, to enhance institutional innovation and entrepreneurship practices. With a vision for 2030, the consortium aims to foster innovation in AI and machine learning (ML) across HEIs, students, and businesses, particularly in the fields of aerospace, electronics, advanced materials, sustainability, and biodiversity. The consortium seeks to establish a long-term partnership between industry, academia, and government to develop cutting-edge education programmes, and address the climate crisis and wider sustainability issues. The Project aligns with the goals of the Deep Tech Talent Initiative, Climate-KIC, EIT Digital, and EIT Raw Materials, and supports their strategic aims