STRUCTURE PREDICTION OF HYBRID NANOPARTICLES VIA ARTIFICIAL INTELLIGENCE (HNP-AI)


Main funder


Funds granted by main funder (€)

385 679,00


Funding program

Academy Programme, AoF (Academy of Finland)


Project timetable

Project start date: 01/01/2018

Project end date: 31/12/2021


Summary

Aim in the HNP-AI consortium is to combine intelligent memetic algorithms on local and
global search with multi-objective optimization procedures to
(a) predict realistic hybrid nanostructures, especially structures of hybrid nanoparticles
such as MPCs, based on incomplete experimental informaton of the atomic structure once
enough complementary experimental information is available
(b) develop new methods to analyze existing structure-property data of MPC to
elucidate factors that determine the stability of MPCs
(c) develop understanding of the crucial factors determining the outcome of MPC
synthesis. This will enable a better rational design of synthesis targets.


Principal Investigator


Other persons related to this project (JYU)

Contact person (yes/no): No


Primary responsible unit


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Last updated on 2019-09-01 at 12:53