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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 online resource (156 p.) |
| Soggetto non controllato |
0.5Li2MnO3·0.5LiMn0.8Ni0.1Co0.1O2
AC filtering anode material biotemplate carbon microfibers carbon nanostructures cathode material cathode materials Co-doping co-precipitation method Cr3+/Cr6+ redox pairs cross-linked carbon nanofiber cycling performance elasto-plastic stress electrochemical energy storage electrochemical performance electrochemical properties electrode materials energy storage and conversion garnet green synthesis route high-rate supercapacitor inductively-coupled plasma Li ion battery Li-rich layered oxide Li2MoO3 LiFePO4/C composite lithium ion batteries lithium-ion batteries lithium-ion battery lithium-ion conductivity lithium-rich layered oxide material index mechanical stability methanol microstructure Mn3O4 nanostructure nanotubes parametric analysis pulse power storage sol-gel method solid-state batteries solid-state complexation method solid-state electrolyte specific capacitance specific capacity submicron powder sulfidation supercapacitors thermal annealing vertical graphene voltage attenuation voltage decay water X-ray diffraction ZIF-67 zinc sulfide |
| 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 online resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
artificial intelligence
boosted tree change detection deep learning DInSAR DPM method earth observation ensemble models GIS groundwater potential Jakarta land subsidence land subsidence susceptibility mapping machine learning Monte Carlo simulation Monterrey Metropolitan Area Mt. Umyeon landslides neural networks physical slope model probabilistic method prototype selection remote sensing river pollution seismic literacy seismic vulnerability map Sentinel-1 Seoul space data science specific capacity StaMPS processing supervised classification sustainable development synthetic aperture radar time-series time-series InSAR transfer learning urban open spaces urban vegetation WSN |
| 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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