У нас вы можете посмотреть бесплатно Order-disorder transitions in zeolitic frameworks using molecular dynamics and machine learning или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Lennard-Jones Centre discussion group seminar by Prof. Rocio Semino from the Sorbonne University in France. Metal-organic frameworks (MOFs) feature promising applications for important industrial and societal problems. In order to move forward in our quest for developing new MOF materials, we need to gain further molecular-level understanding on their transformations and phase transitions. This presentation highlights recent work of the molecular mechanism of ordered-disordered phase transitions undergone by two zeolitic imidazolate frameworks composed by Zn2+ and imidazolate: a porous (ZIF-4) and a dense, non-porous (ZIF-zni) polymorph, via a combination of data science and computer simulation approaches. Molecular dynamics simulations were carried out at the atomistic level through the nb-ZIF-FF force field2 that incorporates ligand–metal reactivity and relies on dummy atoms to reproduce the correct tetrahedral topology around Zn2+ centres. Symmetry functions computed over a database of structures of the four phases, were used as inputs to train a neural network that predicts the probabilities of belonging to each of the phases at the local Zn2+ level with 90% accuracy. It is found that the amorphization of ZIF -4 and the melting of ZIF -zni involve connectivity changes in the first neighbour ligands around the central Zn2+ cations. In addition, the former is a non-isotropic process and the origins of this behaviour are traced back to density and lability of coordination bonds. These investigations are part of a larger project where reactive processes of MOFs in solution are studied via a combination of multiscale simulations and data science techniques. Read more: J. Mater. Chem. A 12, 4572 (2024) : https://pubs.rsc.org/en/content/artic... J. Chem. Phys. 157, 184502 (2022): https://pubs.aip.org/aip/jcp/article/... Magnify project: https://www.rociosemino.com/magnify-p... The seminar was held on 22nd January 2024. 🖥️ Check out our websites: https://linktr.ee/cumaterials