msm-core version: 0.1.5rc1

Welcome to to the WISE course - Microscopic modelling for sustainable materials applications

Unlock the Future of Sustainable Materials with Our Advanced Modeling Techniques Course!

🌍 Dive into Sustainable Innovation: Join our cutting-edge course designed to propel PhD students to the forefront of sustainable materials research. In over 16 insightful lectures, you’ll master state-of-the-art microscopic modeling techniques crucial for understanding and developing sustainable technologies.

🔬 Experience a Blend of Theory and Practical Application: Learn through a blend of computational methods and experimental insights with our interdisciplinary approach. Our course caters to all students within the WISE program, ensuring a comprehensive understanding of both theoretical and practical aspects of materials science.

💻 Hands-On Learning with Leading Software: Put theory into practice in our exercise sessions using top-tier, freely available modeling software. These tools will not only allow you to engage deeply with the course content but also empower you to manage your own sustainable projects.

🌟 Join Our Community of Forward-Thinking Scientists: Whether you aim to enhance your computational skills or deepen your experimental knowledge, this course is your gateway to becoming a leader in sustainable material research.

📚 Enroll Now and Start Pioneering Sustainable Solutions!

In line with the increasingly important role of sustainable technologies [1,2], materials modeling has become an inherent part of identifying new materials and it is, above all, a valuable tool for understanding the driving mechanisms on the atomic and microscopic scales. The goal of this course is to provide an overview of state-of-the-art microscopic modeling techniques, their functionalities, capabilities, and limitations. Though the course focuses on computational methods, it addresses all PhD students within WISE, as measurements and simulations go hand in hand in many research areas and assessment of the quality of computational modeling is essential for experimental scientists.

In this course, spanning 16 lectures, we will encompass a wide array of theoretical models, including multi-parameter and first principles approaches, state-of-the-art computational methods and tools also relevant for experimental measurements. The applications of these models will be explored not only in the context of designing and analyzing sustainable materials but also in terms of their computational efficiency and sustainability. The theoretical principles taught in the course will be practically applied in hands-on exercise sessions, allowing students to directly engage with the material and with sustainable processes. We encourage the use of freely available software, which students can manage independently, to facilitate a deeper understanding and practical application of the course content.

[1] Green Deal of the EU (https://commission.europa.eu/strategy-and-policy/priorities-2019- 2024/european-green-deal en)

[2] Swedish strategy for a fossil-free country (https://fossil- frittsverige.se/en/start-english )

Teachers

  • Danny Thonig ( ) - Örebro University - Main PI

  • Corina Etz () - Luleå Technical University

  • Heike Herper () - Uppsala University

  • Erik van Loon () - Lund University

  • Alena Vishina () - Uppsala University

Do not hesitate to contact the teachers in case of questions.