Order-Disorder Transitions in Zeolitic Frameworks Using Molecular Dynamics and Machine Learning
Cambridge Materials via YouTube
AI, Data Science & Business Certificates from Google, IBM & Microsoft
Learn Excel & Financial Modeling the Way Finance Teams Actually Use Them
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
This seminar presents Professor Rocio Semino from Sorbonne University discussing the molecular mechanisms behind ordered-disordered phase transitions in zeolitic imidazolate frameworks (ZIFs). Explore how a combination of data science and computer simulation approaches reveals insights into the transformations of metal-organic frameworks (MOFs), specifically focusing on ZIF-4 (porous) and ZIF-zni (dense, non-porous) polymorphs composed of Zn2+ and imidazolate. Learn about atomistic molecular dynamics simulations using the nb-ZIF-FF force field that incorporates ligand-metal reactivity, and discover how neural networks trained on symmetry functions can predict phase probabilities with 90% accuracy. The presentation explains findings that amorphization and melting processes involve connectivity changes in first neighbor ligands around central Zn2+ cations, with ZIF-4 amorphization being a non-isotropic process related to density and coordination bond lability. This 29-minute Lennard-Jones Centre discussion group seminar connects to a larger project studying reactive processes of MOFs in solution through multiscale simulations and data science techniques, with references to published research in the Journal of Materials Chemistry A and Journal of Chemical Physics.
Syllabus
Order-disorder transitions in zeolitic frameworks using molecular dynamics and machine learning
Taught by
Cambridge Materials