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.

The school will be held in Istanbul at Özyeğin University in a hybrid format, allowing both in-person and virtual participation.

Registration: https://tinyurl.com/WG4trainingschool

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

Program Overview: TrainingSchool_Program