CORDIS Project
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The MALTOSE project integrates machine learning with materials research to develop new organic semiconductors. It focuses on designing materials for improved organic photovoltaic cells, enhancing their efficiency, stability, and environmental friendliness through advanced predictive modeling techniques.
“Machine Learning for Tailoring Organic Semiconductors” (MALTOSE) connects fundamental materials research with machine-learning (ML) techniques, focusing on the electronic properties of organic semiconductors.
The aim of this innovative project is to discover and design novel materials with exciting properties, the prime example being the design of compounds for better organic photovoltaic cells, i.e., that reach higher power-conversion efficiencies and are more stable and more environmentally f…
International Center in Advanced Materials and raw materials for CyL
FUNDACION ICAMCYL
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