Modeling UV-Vis spectra of low dimensional materials using electrostatic embedding: The case of CdSe.
Davide LuiseLiam WilbrahamFrédéric LabatIlaria CiofiniPublished in: J. Comput. Chem. (2021)
Keyphrases
- low dimensional
- high dimensional
- nonlinear dimensionality reduction
- graph embedding
- recognizing facial expressions
- principal component analysis
- vector space
- multidimensional scaling
- high dimensional data
- learning materials
- nonlinear manifold learning
- embedding space
- dimensionality reduction
- lower dimensional
- gaussian process latent variable models
- input space
- latent space
- manifold learning
- dimension reduction
- pattern recognition