Training School on MOF Computational Tools, Machine Learning, and Databases

The aim of the training school is to provide participants with advanced knowledge and hands-on experience in utilizing data-driven approaches, machine learning techniques, and computational tools to enhance research and innovation in Metal-Organic Frameworks (MOFs). The school focuses on state-of-the-art simulation methods and their applications, equipping attendees with the skills needed to tackle complex challenges in MOF research, from material discovery to storage solutions.

Programme: view and download

Where: hybrid from Özyeğin University in Istanbul, Turkïye

Registration: https://tinyurl.com/WG4trainingschool

Local organiser:  Dr. İlknur Erucar Findikci, ilknur.erucar@ozyegin.edu.tr

Science communication coordinator: Dr. Olesia Kulyk, olesia.g.kulyk@karazin.ua

More information can be found on the website www.eu4mofs.com