Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement
Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without in...
Ausführliche Beschreibung
Autor*in: |
Chen, Gengxu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2023 |
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Schlagwörter: |
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Anmerkung: |
© Tsinghua University Press 2023 |
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Übergeordnetes Werk: |
Enthalten in: Nano research - [S.l.] : Tsinghua Press, 2008, 16(2023), 5 vom: 22. Feb., Seite 7661-7670 |
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Übergeordnetes Werk: |
volume:16 ; year:2023 ; number:5 ; day:22 ; month:02 ; pages:7661-7670 |
Links: |
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DOI / URN: |
10.1007/s12274-023-5456-x |
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Katalog-ID: |
SPR051589249 |
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520 | |a Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). | ||
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700 | 1 | |a Yu, Xipeng |4 aut | |
700 | 1 | |a Gao, Changsong |4 aut | |
700 | 1 | |a Dai, Yan |4 aut | |
700 | 1 | |a Hao, Yanxue |4 aut | |
700 | 1 | |a Yu, Rengjian |4 aut | |
700 | 1 | |a Chen, Huipeng |4 aut | |
700 | 1 | |a Guo, Tailiang |4 aut | |
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10.1007/s12274-023-5456-x doi (DE-627)SPR051589249 (SPR)s12274-023-5456-x-e DE-627 ger DE-627 rakwb eng Chen, Gengxu verfasserin aut Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). floating gate phototransistors (dpeaa)DE-He213 perovskite nanocrystals (dpeaa)DE-He213 temperature (dpeaa)DE-He213 multisensory neuromorphic devices (dpeaa)DE-He213 Yu, Xipeng aut Gao, Changsong aut Dai, Yan aut Hao, Yanxue aut Yu, Rengjian aut Chen, Huipeng aut Guo, Tailiang aut Enthalten in Nano research [S.l.] : Tsinghua Press, 2008 16(2023), 5 vom: 22. Feb., Seite 7661-7670 (DE-627)57375361X (DE-600)2442216-2 1998-0000 nnns volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 https://dx.doi.org/10.1007/s12274-023-5456-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 5 22 02 7661-7670 |
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10.1007/s12274-023-5456-x doi (DE-627)SPR051589249 (SPR)s12274-023-5456-x-e DE-627 ger DE-627 rakwb eng Chen, Gengxu verfasserin aut Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). floating gate phototransistors (dpeaa)DE-He213 perovskite nanocrystals (dpeaa)DE-He213 temperature (dpeaa)DE-He213 multisensory neuromorphic devices (dpeaa)DE-He213 Yu, Xipeng aut Gao, Changsong aut Dai, Yan aut Hao, Yanxue aut Yu, Rengjian aut Chen, Huipeng aut Guo, Tailiang aut Enthalten in Nano research [S.l.] : Tsinghua Press, 2008 16(2023), 5 vom: 22. Feb., Seite 7661-7670 (DE-627)57375361X (DE-600)2442216-2 1998-0000 nnns volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 https://dx.doi.org/10.1007/s12274-023-5456-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 5 22 02 7661-7670 |
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10.1007/s12274-023-5456-x doi (DE-627)SPR051589249 (SPR)s12274-023-5456-x-e DE-627 ger DE-627 rakwb eng Chen, Gengxu verfasserin aut Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). floating gate phototransistors (dpeaa)DE-He213 perovskite nanocrystals (dpeaa)DE-He213 temperature (dpeaa)DE-He213 multisensory neuromorphic devices (dpeaa)DE-He213 Yu, Xipeng aut Gao, Changsong aut Dai, Yan aut Hao, Yanxue aut Yu, Rengjian aut Chen, Huipeng aut Guo, Tailiang aut Enthalten in Nano research [S.l.] : Tsinghua Press, 2008 16(2023), 5 vom: 22. Feb., Seite 7661-7670 (DE-627)57375361X (DE-600)2442216-2 1998-0000 nnns volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 https://dx.doi.org/10.1007/s12274-023-5456-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 5 22 02 7661-7670 |
allfieldsGer |
10.1007/s12274-023-5456-x doi (DE-627)SPR051589249 (SPR)s12274-023-5456-x-e DE-627 ger DE-627 rakwb eng Chen, Gengxu verfasserin aut Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). floating gate phototransistors (dpeaa)DE-He213 perovskite nanocrystals (dpeaa)DE-He213 temperature (dpeaa)DE-He213 multisensory neuromorphic devices (dpeaa)DE-He213 Yu, Xipeng aut Gao, Changsong aut Dai, Yan aut Hao, Yanxue aut Yu, Rengjian aut Chen, Huipeng aut Guo, Tailiang aut Enthalten in Nano research [S.l.] : Tsinghua Press, 2008 16(2023), 5 vom: 22. Feb., Seite 7661-7670 (DE-627)57375361X (DE-600)2442216-2 1998-0000 nnns volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 https://dx.doi.org/10.1007/s12274-023-5456-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 5 22 02 7661-7670 |
allfieldsSound |
10.1007/s12274-023-5456-x doi (DE-627)SPR051589249 (SPR)s12274-023-5456-x-e DE-627 ger DE-627 rakwb eng Chen, Gengxu verfasserin aut Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Tsinghua University Press 2023 Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). floating gate phototransistors (dpeaa)DE-He213 perovskite nanocrystals (dpeaa)DE-He213 temperature (dpeaa)DE-He213 multisensory neuromorphic devices (dpeaa)DE-He213 Yu, Xipeng aut Gao, Changsong aut Dai, Yan aut Hao, Yanxue aut Yu, Rengjian aut Chen, Huipeng aut Guo, Tailiang aut Enthalten in Nano research [S.l.] : Tsinghua Press, 2008 16(2023), 5 vom: 22. Feb., Seite 7661-7670 (DE-627)57375361X (DE-600)2442216-2 1998-0000 nnns volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 https://dx.doi.org/10.1007/s12274-023-5456-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 16 2023 5 22 02 7661-7670 |
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English |
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Enthalten in Nano research 16(2023), 5 vom: 22. Feb., Seite 7661-7670 volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 |
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Enthalten in Nano research 16(2023), 5 vom: 22. Feb., Seite 7661-7670 volume:16 year:2023 number:5 day:22 month:02 pages:7661-7670 |
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floating gate phototransistors perovskite nanocrystals temperature multisensory neuromorphic devices |
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Chen, Gengxu @@aut@@ Yu, Xipeng @@aut@@ Gao, Changsong @@aut@@ Dai, Yan @@aut@@ Hao, Yanxue @@aut@@ Yu, Rengjian @@aut@@ Chen, Huipeng @@aut@@ Guo, Tailiang @@aut@@ |
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2023-02-22T00:00:00Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR051589249</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230523064726.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230523s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12274-023-5456-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR051589249</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12274-023-5456-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Gengxu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Tsinghua University Press 2023</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. 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Chen, Gengxu |
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Chen, Gengxu misc floating gate phototransistors misc perovskite nanocrystals misc temperature misc multisensory neuromorphic devices Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement |
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Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement |
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Chen, Gengxu Yu, Xipeng Gao, Changsong Dai, Yan Hao, Yanxue Yu, Rengjian Chen, Huipeng Guo, Tailiang |
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temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement |
title_auth |
Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement |
abstract |
Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). © Tsinghua University Press 2023 |
abstractGer |
Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). © Tsinghua University Press 2023 |
abstract_unstemmed |
Abstract Multi-sensory neuromorphic devices (MND) have broad potential in overcoming the structural bottleneck of von Neumann in the era of big data. However, the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity, which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing system. Here, a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors (FGT) is fabricated. The $ CsPbBr_{3} $/$ TiO_{2} $ core-shell nanocrystals (NCs) prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive layer. The device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room temperature. Surprisingly, when the temperature varies from 20 to 120 °C back and forth, the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors, which contributes to the efficient visual/thermal fusion perception. This work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors (OFET). © Tsinghua University Press 2023 |
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title_short |
Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement |
url |
https://dx.doi.org/10.1007/s12274-023-5456-x |
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author2 |
Yu, Xipeng Gao, Changsong Dai, Yan Hao, Yanxue Yu, Rengjian Chen, Huipeng Guo, Tailiang |
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Yu, Xipeng Gao, Changsong Dai, Yan Hao, Yanxue Yu, Rengjian Chen, Huipeng Guo, Tailiang |
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doi_str |
10.1007/s12274-023-5456-x |
up_date |
2024-07-03T22:41:57.587Z |
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score |
7.4010687 |