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A multiscale Machine Learning based Software for the Simulation of Catalytic Processes

CORDIS · observation · Publication date unknown

A multiscale Machine Learning based Software for the Simulation of Catalytic Processes The reduction of the environmental footprint of the chemical and related industries is nowadays of utmost importance. The transition towards more sustainable processes that combine efficient use of raw material and energy with higher transformation rates, better selectivity and higher mass and energy efficiency will contribute to meet the objectives of the green deal. In this respect, catalysis engineering is pivotal to developing technologies able to meet these goals and to shape the sustainable economy of the future. The accurate description of this multiscale process has a substantial impact on the performances of the entire chemical process and, consequently, on many manufacturing sectors. The description of the catalytic process requires a detailed and accurate definition of the intrinsic reactivity, by means

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recordType

award

status

CLOSED

region

EU

value

150000

unit

EUR