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Toward self-organizing low-dimensional organic–inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces
Low-dimensional hybrid perovskites combine the richness of physical functionalities of
inorganic materials and complexity and stimulus responsiveness of organic molecules in a …
inorganic materials and complexity and stimulus responsiveness of organic molecules in a …
Deep kernel methods learn better: from cards to process optimization
The ability of deep learning methods to perform classification and regression tasks relies
heavily on their capacity to uncover manifolds in high-dimensional data spaces and project …
heavily on their capacity to uncover manifolds in high-dimensional data spaces and project …