Machine Learning-Augmented Spectroscopies for Intelligent Materials Design
portes grátis
Machine Learning-Augmented Spectroscopies for Intelligent Materials Design
Andrejevic, Nina
Springer International Publishing AG
10/2022
97
Dura
Inglês
9783031148071
15 a 20 dias
Descrição não disponível.
Chapter1: Introduction.- Chapter2: Background.- Chapter3: Data-efficient learning of materials' vibrational properties.- Chapter4: Machine learning-assisted parameter retrieval from polarized neutron reflectometry measurements.- Chapter5: Machine learning spectral indicators of topology.- Chapter6: Conclusion and outlook.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning for materials characterization;machine learning Raman spectra;machine learning neutron scattering;machine learning vibrational properties;parameter retrieval;machine learning for experimental design;Euclidean neural network;machine learning spectral signatures;electronic band topology
Chapter1: Introduction.- Chapter2: Background.- Chapter3: Data-efficient learning of materials' vibrational properties.- Chapter4: Machine learning-assisted parameter retrieval from polarized neutron reflectometry measurements.- Chapter5: Machine learning spectral indicators of topology.- Chapter6: Conclusion and outlook.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning for materials characterization;machine learning Raman spectra;machine learning neutron scattering;machine learning vibrational properties;parameter retrieval;machine learning for experimental design;Euclidean neural network;machine learning spectral signatures;electronic band topology
