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Advances in Electrochemical Energy Materials
| Advances in Electrochemical Energy Materials |
| Autore | Fan Zhaoyang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (156 p.) |
| Soggetto non controllato |
lithium ion batteries
microstructure zinc sulfide material index solid-state complexation method submicron powder X-ray diffraction vertical graphene garnet electrochemical energy storage biotemplate nanotubes cathode material Cr3+/Cr6+ redox pairs mechanical stability cathode materials supercapacitors electrochemical properties Co-doping elasto-plastic stress inductively-coupled plasma water voltage decay Mn3O4 thermal annealing parametric analysis solid-state batteries pulse power storage cycling performance energy storage and conversion anode material carbon nanostructures Li ion battery electrode materials Li2MoO3 lithium-ion conductivity lithium-ion batteries voltage attenuation methanol specific capacity lithium-ion battery sulfidation solid-state electrolyte lithium-rich layered oxide Li-rich layered oxide carbon microfibers specific capacitance nanostructure green synthesis route 0.5Li2MnO3·0.5LiMn0.8Ni0.1Co0.1O2 ZIF-67 co-precipitation method high-rate supercapacitor LiFePO4/C composite AC filtering sol–gel method electrochemical performance cross-linked carbon nanofiber |
| ISBN | 3-03928-643-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091903321 |
Fan Zhaoyang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
| Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS |
| Autore | Lee Chang-Wook |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
groundwater potential
specific capacity machine learning boosted tree ensemble models prototype selection river pollution supervised classification WSN probabilistic method Monte Carlo simulation physical slope model Mt. Umyeon landslides Seoul synthetic aperture radar land subsidence GIS time-series Jakarta land subsidence susceptibility mapping time-series InSAR StaMPS processing seismic vulnerability map DPM method Sentinel-1 seismic literacy neural networks urban vegetation urban open spaces Monterrey Metropolitan Area sustainable development deep learning transfer learning artificial intelligence remote sensing earth observation DInSAR change detection space data science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557605403321 |
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Lee Chang-Wook
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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