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Electronic Nanodevices
| Electronic Nanodevices |
| Autore | Bartolomeo Antonio |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
2D materials
additional capacity additives anodes armchair-edge graphene nanoribbon band-to-band tunneling biological chelator black phosphorus broadening carbon nanotube chemical doping circuit simulation compact modeling concentrator systems contact resistance design of experiments edge contact electrodes electron mobility electrostatic doping FeFET ferroelectric field-effect transistor GaInP/GaInAs/Ge GaN HEMTs GFET graphene green synthesis heat equation high-frequency HTL/ETL junctionless lithium-ion batteries metallization molybdenum oxides multi-junction MXenes n/a nanoantennas nanodevices nanoribbon nanoscale negative photoconductivity NEGF NEGF simulation nonvolatile optics optoelectronic devices phosphorene photosensitivity phototransistors photovoltaic technology photovoltaics polarization charge power conversion efficiency pressure quantum simulation quantum transport rectennas ReSe2 resistive memories resistive switching RF devices rhenium SBT scaling scattering selenides semiconductor memory solar cells space sub-10 nm subthreshold swing switching performance thermal conductivity thermal model tolerance analysis triple-junction tunnel field effect transistors zigzag carbon nanotube |
| ISBN | 3-0365-5022-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469603321 |
Bartolomeo Antonio
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Memristors for Neuromorphic Circuits and Artificial Intelligence Applications
| Memristors for Neuromorphic Circuits and Artificial Intelligence Applications |
| Autore | Suñé Jordi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (244 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
AI
artificial intelligence artificial neural network artificial synapse autocovariance boost-factor adjustment character recognition circuit design compact model cortical neurons crossbar array deep learning networks defect-tolerant spatial pooling electronic synapses emulator Flash memories graphene oxide hardware-based deep learning ICs hierarchical temporal memory laser memristive devices memristor memristor crossbar memristor-CMOS hybrid circuit memristors multiscale modeling neocortex neural network hardware neural networks neuromorphic neuromorphic computing neuromorphic engineering neuromorphic hardware neuromorphic systems neuromorphics optimization OxRAM pattern recognition pavlov reinforcement learning resistive switching RRAM self-organization maps sensory and hippocampal responses simulation spike-timing-dependent plasticity spiking neural network spiking neural networks STDP strongly correlated oxides synapse synaptic device synaptic plasticity synaptic weight temporal pooling time series modeling transistor-like devices variability vertical RRAM wire resistance |
| ISBN | 3-03928-577-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404090703321 |
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Suñé Jordi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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