Projects funded by the NCN

Machine Learning-Assisted Design of Metal Hydride Alloys for Hydrogen Applications using CALPHAD Predictive Modelling

Call: M-ERA.NET 3 Call 2023 , Panel: ST3

Principal investigator: dr hab. Łukasz Gondek

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

Computational design of next generation rocket fuels based on hypergolic metal-organic frameworks

Call: OPUS 26 , Panel: ST5

Principal investigator: dr hab. Mihails Arhangelskis

Uniwersytet Warszawski, Wydział Chemii

Computational design of magnetic metal-organic frameworks using ab initio crystal structure prediction

Call: PRELUDIUM BIS 4 , Panel: ST5

Principal investigator: dr hab. Mihails Arhangelskis

Uniwersytet Warszawski, Wydział Chemii

Advanced methods of numerical modeling supported by machine learning tools for predicting water adsorption in MOF materi...

Call: PRELUDIUM 21 , Panel: ST4

Principal investigator: Bartosz Mazur

Politechnika Wrocławska

Toxicological features of new two-dimensional nanomaterials from the MBenes family

Call: OPUS 18 , Panel: ST5

Principal investigator: dr hab. Agnieszka Maria Jastrzębska

Politechnika Warszawska, Wydział Mechatroniki

Development of universal data representation models to improve the quality of machine learning techniqes with an exampla...

Call: PRELUDIUM 11 , Panel: ST6

Principal investigator: Magdalena Katarzyna Wiercioch

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

Development of machne learning methods with an application of determining of chemical compounds activitiy

Call: PRELUDIUM 7 , Panel: ST6

Principal investigator: dr Marek Andrzej Śmieja

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki