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International journal of smart and nano materials
International journal of smart and nano materials
Pubbl/distr/stampa Abingdon, Oxfordshire, UK, : Taylor & Francis
Disciplina 620.1
Soggetto topico Smart materials
Nanotechnology
Nanociència
Materials
Soggetto genere / forma Periodicals.
Revistes electròniques.
Soggetto non controllato Materials Science
ISSN 1947-542X
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti IJSNM
Record Nr. UNINA-9910145299403321
Abingdon, Oxfordshire, UK, : Taylor & Francis
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internet of things for smart environments / / edited by Gonçalo Marques and Alfonso González-Briones
Internet of things for smart environments / / edited by Gonçalo Marques and Alfonso González-Briones
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (137 pages)
Disciplina 004.019
Collana EAI/Springer Innovations in Communication and Computing
Soggetto topico Internet of things
Smart materials
Human-computer interaction
ISBN 3-031-09729-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910627240703321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ISOCC 2018 : International SoC Design Conference : proceedings of technical papers : November 12-15, 2018, Hotel Inter-Burgo Daegu, Daegu, Korea. / / Institute of Electrical and Electronics Engineers
ISOCC 2018 : International SoC Design Conference : proceedings of technical papers : November 12-15, 2018, Hotel Inter-Burgo Daegu, Daegu, Korea. / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (150 pages)
Disciplina 621
Soggetto topico Systems on a chip - Design and construction
Electronic digital computers - Circuits
Integrated circuits - Very large scale integration - Design and construction
Smart materials
ISBN 1-5386-7960-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910312657803321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ISOCC 2018 : International SoC Design Conference : proceedings of technical papers : November 12-15, 2018, Hotel Inter-Burgo Daegu, Daegu, Korea. / / Institute of Electrical and Electronics Engineers
ISOCC 2018 : International SoC Design Conference : proceedings of technical papers : November 12-15, 2018, Hotel Inter-Burgo Daegu, Daegu, Korea. / / Institute of Electrical and Electronics Engineers
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (150 pages)
Disciplina 621
Soggetto topico Systems on a chip - Design and construction
Electronic digital computers - Circuits
Integrated circuits - Very large scale integration - Design and construction
Smart materials
ISBN 1-5386-7960-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996577944503316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
ISSS journal of micro and smart systems
ISSS journal of micro and smart systems
Pubbl/distr/stampa [New Delhi] : , : Springer India, , 2017-
Descrizione fisica 1 online resource
Disciplina 620
Soggetto topico Smart materials
Microtechnology
Smart structures
Soggetto genere / forma Periodicals.
Zeitschrift
ISSN 2509-7997
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Institute for Smart Structures and Systems journal of micro and smart systems
Record Nr. UNINA-9910481972403321
[New Delhi] : , : Springer India, , 2017-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Journal of intelligent material systems and structures
Journal of intelligent material systems and structures
Pubbl/distr/stampa [Lancaster, Pa.] : , : Technomic Pub. Co., , c1990-
Disciplina 620
Soggetto topico Smart materials
Intelligent control systems
Artificial intelligence
ISSN 1530-8138
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Record Nr. UNISA-996251345203316
[Lancaster, Pa.] : , : Technomic Pub. Co., , c1990-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine learning-augmented spectroscopies for intelligent materials design / / Nina Andrejevic
Machine learning-augmented spectroscopies for intelligent materials design / / Nina Andrejevic
Autore Andrejevic Nina
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (106 pages)
Disciplina 006.31
Collana Springer Theses
Soggetto topico Machine learning
Smart materials
ISBN 9783031148088
9783031148071
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Supervisor's Foreword -- Acknowledgments -- Parts of This Thesis Have Been Published in the Following Journal Articles and Preprints -- Contents -- 1 Introduction -- 1.1 Neutron and Photon Scattering and Spectroscopy -- 1.2 Integration of Machine Learning -- 1.3 Thesis Objectives -- References -- 2 Background -- 2.1 Neutron and Photon Scattering and Spectroscopy -- 2.1.1 Inelastic Neutron Scattering -- 2.1.2 Raman Spectroscopy -- 2.1.3 Polarized Neutron Reflectometry -- 2.1.4 X-ray Absorption Spectroscopy -- 2.2 Data-Driven Methods -- 2.2.1 Dimensionality Reduction -- Singular Value Decomposition -- Principal Component Analysis -- Non-negative Matrix Factorization -- 2.2.2 Machine Learning -- Support Vector Machines -- Neural Networks -- References -- 3 Data-Efficient Learning of Materials' Vibrational Properties -- 3.1 Introduction -- 3.2 Materials Data Representations -- 3.3 Euclidean Neural Networks -- 3.3.1 Graph Representation of Crystal Structures -- 3.3.2 Network Operations -- 3.4 Phonon DoS Prediction -- 3.4.1 Data Processing -- 3.4.2 Results -- 3.4.3 Comparison with Experiment -- 3.4.4 High-CV Materials Discovery -- 3.4.5 Partial Phonon Density of States -- 3.4.6 Alloys and Strained Compounds -- 3.5 Unsupervised Representation Learning of Vibrational Spectra -- 3.5.1 Dimensionality Reduction -- 3.5.2 Data Processing Methods -- 3.5.3 Results -- 3.6 Conclusion -- References -- 4 Machine Learning-Assisted Parameter Retrieval from Polarized Neutron Reflectometry Measurements -- 4.1 Introduction -- 4.2 Polarized Neutron Reflectometry -- 4.3 Variational Autoencoder -- 4.3.1 VAE-Based PNR Parameter Retrieval -- 4.3.2 Data Preparation -- 4.3.3 Results -- 4.4 Resolving Interfacial AFM Coupling -- 4.5 Discussion -- 4.6 Conclusion -- References -- 5 Machine Learning Spectral Indicators of Topology -- 5.1 Introduction.
5.2 Topological Materials Discovery -- 5.3 Data Preparation and Pre-processing -- 5.4 Exploratory Analysis -- 5.5 Results -- 5.6 Conclusion -- References -- 6 Conclusion and Outlook -- 6.1 Thesis Summary -- 6.2 Perspectives and Outlook -- Reference.
Record Nr. UNINA-9910616379903321
Andrejevic Nina  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine learning-augmented spectroscopies for intelligent materials design / / Nina Andrejevic
Machine learning-augmented spectroscopies for intelligent materials design / / Nina Andrejevic
Autore Andrejevic Nina
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (106 pages)
Disciplina 006.31
Collana Springer Theses
Soggetto topico Machine learning
Smart materials
ISBN 9783031148088
9783031148071
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Supervisor's Foreword -- Acknowledgments -- Parts of This Thesis Have Been Published in the Following Journal Articles and Preprints -- Contents -- 1 Introduction -- 1.1 Neutron and Photon Scattering and Spectroscopy -- 1.2 Integration of Machine Learning -- 1.3 Thesis Objectives -- References -- 2 Background -- 2.1 Neutron and Photon Scattering and Spectroscopy -- 2.1.1 Inelastic Neutron Scattering -- 2.1.2 Raman Spectroscopy -- 2.1.3 Polarized Neutron Reflectometry -- 2.1.4 X-ray Absorption Spectroscopy -- 2.2 Data-Driven Methods -- 2.2.1 Dimensionality Reduction -- Singular Value Decomposition -- Principal Component Analysis -- Non-negative Matrix Factorization -- 2.2.2 Machine Learning -- Support Vector Machines -- Neural Networks -- References -- 3 Data-Efficient Learning of Materials' Vibrational Properties -- 3.1 Introduction -- 3.2 Materials Data Representations -- 3.3 Euclidean Neural Networks -- 3.3.1 Graph Representation of Crystal Structures -- 3.3.2 Network Operations -- 3.4 Phonon DoS Prediction -- 3.4.1 Data Processing -- 3.4.2 Results -- 3.4.3 Comparison with Experiment -- 3.4.4 High-CV Materials Discovery -- 3.4.5 Partial Phonon Density of States -- 3.4.6 Alloys and Strained Compounds -- 3.5 Unsupervised Representation Learning of Vibrational Spectra -- 3.5.1 Dimensionality Reduction -- 3.5.2 Data Processing Methods -- 3.5.3 Results -- 3.6 Conclusion -- References -- 4 Machine Learning-Assisted Parameter Retrieval from Polarized Neutron Reflectometry Measurements -- 4.1 Introduction -- 4.2 Polarized Neutron Reflectometry -- 4.3 Variational Autoencoder -- 4.3.1 VAE-Based PNR Parameter Retrieval -- 4.3.2 Data Preparation -- 4.3.3 Results -- 4.4 Resolving Interfacial AFM Coupling -- 4.5 Discussion -- 4.6 Conclusion -- References -- 5 Machine Learning Spectral Indicators of Topology -- 5.1 Introduction.
5.2 Topological Materials Discovery -- 5.3 Data Preparation and Pre-processing -- 5.4 Exploratory Analysis -- 5.5 Results -- 5.6 Conclusion -- References -- 6 Conclusion and Outlook -- 6.1 Thesis Summary -- 6.2 Perspectives and Outlook -- Reference.
Record Nr. UNISA-996495164503316
Andrejevic Nina  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Material-integrated intelligent systems : technology and applications / / edited by Stefan Bosse [and three others]
Material-integrated intelligent systems : technology and applications / / edited by Stefan Bosse [and three others]
Pubbl/distr/stampa Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018
Descrizione fisica 1 online resource (675 pages)
Disciplina 620.11
Soggetto topico Smart materials
Artificial intelligence
Soggetto genere / forma Electronic books.
ISBN 3-527-67926-X
3-527-67925-1
3-527-67924-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910270893903321
Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Material-integrated intelligent systems : technology and applications / / edited by Stefan Bosse [and three others]
Material-integrated intelligent systems : technology and applications / / edited by Stefan Bosse [and three others]
Pubbl/distr/stampa Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018
Descrizione fisica 1 online resource (675 pages)
Disciplina 620.11
Soggetto topico Smart materials
Artificial intelligence
ISBN 3-527-67926-X
3-527-67925-1
3-527-67924-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910830343603321
Weinheim, [Germany] : , : Wiley-VCH Verlag GmbH & Co. KGaA, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui