Photovoltaic energy represents a keystone for the transition to renewable energy. A crucial point in the design of new technologies is represented by the optimization of solar cell structures. Here we review the main results obtained using multiobjective optimization algorithms, machine learning techniques, and new perspectives given by organic solar cells.

High-Performance Solar Cells by Machine Learning and Pareto Optimality

Nastasi, Giovanni
;
2022-01-01

Abstract

Photovoltaic energy represents a keystone for the transition to renewable energy. A crucial point in the design of new technologies is represented by the optimization of solar cell structures. Here we review the main results obtained using multiobjective optimization algorithms, machine learning techniques, and new perspectives given by organic solar cells.
2022
978-3-030-72322-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/182477
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