Simulations and experiments meet: Machine learning predicts gold nanocluster structures
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in the design of nanomaterials so that their properties can be modified for use in catalysis and other te...
Image: Phys.org
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures using machine learning-based simulations. This information is crucial in the design of nanomaterials so that their properties can be modified for use in catalysis and other technological applications.
Originally published at Phys.org
