MALTOSE PROJECT - Marie Curie Program - H2020
Our day by day / 15-11-2024
Under the prestigious Marie Skłodowska-Curie Actions (MSCA) program, Dr.Christopher Gaul, physicist and machine-learning engineer at ICAMCyL, leads the MALTOSE project (Machine Learning for Tailoring Organic Semiconductors), supervised by Dr, Dr. H.C. Santiago Cuesta-López, General Manager of ICAMCyL.
The MALTOSE project is a research initiative focused on designing organic semiconductors for applications like organic photovoltaics. The project leverages machine learning to optimize materials, specifically by training neural networks to predict molecular properties such as ionization energy and absorption spectrum based on molecular structures. This allows researchers to tailor materials to enhance the performance of organic photovoltaic cells, which convert light into electricity. The project addresses the challenge of finding optimal material combinations in a vast chemical space to improve the efficiency of organic semiconductors
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 883256.
LEAD RESEARCHER: Dr.Christopher Gaul
SUPERVISED BY: Dr, Dr. H.C. Santiago Cuesta-López
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