Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics
The alluring electronic, optoelectronic, and photonic properties of low‐dimensional materials have allowed brain‐inspired electronics to evolve in unprecedented ways. With highly efficient neuromorphic devices and architecture being concocted lately, an understanding of the underlying device mechani...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-05-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202200316 |
| _version_ | 1797823349490974720 |
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| author | Taimur Ahmed Vaishnavi Krishnamurthi Arnan Mitchell Sumeet Walia |
| author_facet | Taimur Ahmed Vaishnavi Krishnamurthi Arnan Mitchell Sumeet Walia |
| author_sort | Taimur Ahmed |
| collection | DOAJ |
| description | The alluring electronic, optoelectronic, and photonic properties of low‐dimensional materials have allowed brain‐inspired electronics to evolve in unprecedented ways. With highly efficient neuromorphic devices and architecture being concocted lately, an understanding of the underlying device mechanisms has emerged. The question of what types of materials and physical mechanisms will be used in future neuromorphic hardware is still open for debate. Herein, a critical review of the mechanisms among various configurations in state‐of‐the‐art low‐dimensional neuromorphic devices is presented. The factors are also reviewed that influence the working paradigm of low‐dimensional neuromorphic devices under different stimuli. Finally, a forward‐looking outlook on the challenges and perspectives in analyzing the mechanisms in this emerging research direction to drive next‐generation neuromorphic computing is provided. |
| first_indexed | 2024-03-13T10:22:47Z |
| format | Article |
| id | doaj.art-5b7c0f46ef7a4a45b0a37443e3371c5f |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-03-13T10:22:47Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-5b7c0f46ef7a4a45b0a37443e3371c5f2023-05-20T03:54:51ZengWileyAdvanced Intelligent Systems2640-45672023-05-0155n/an/a10.1002/aisy.202200316Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for NeuromorphicsTaimur Ahmed0Vaishnavi Krishnamurthi1Arnan Mitchell2Sumeet Walia3Department of IT and Computer Science Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Haripur 22620 PakistanSchool of Engineering RMIT University 124 La Trobe Street Melbourne Victoria 3001 AustraliaIntegrated Photonics and Applications Centre School of Engineering RMIT University Melbourne Victoria 3001 AustraliaSchool of Engineering RMIT University 124 La Trobe Street Melbourne Victoria 3001 AustraliaThe alluring electronic, optoelectronic, and photonic properties of low‐dimensional materials have allowed brain‐inspired electronics to evolve in unprecedented ways. With highly efficient neuromorphic devices and architecture being concocted lately, an understanding of the underlying device mechanisms has emerged. The question of what types of materials and physical mechanisms will be used in future neuromorphic hardware is still open for debate. Herein, a critical review of the mechanisms among various configurations in state‐of‐the‐art low‐dimensional neuromorphic devices is presented. The factors are also reviewed that influence the working paradigm of low‐dimensional neuromorphic devices under different stimuli. Finally, a forward‐looking outlook on the challenges and perspectives in analyzing the mechanisms in this emerging research direction to drive next‐generation neuromorphic computing is provided.https://doi.org/10.1002/aisy.202200316artificial intelligencebrain-inspired computationdeviceslow-dimensional materialsneuromorphics |
| spellingShingle | Taimur Ahmed Vaishnavi Krishnamurthi Arnan Mitchell Sumeet Walia Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics Advanced Intelligent Systems artificial intelligence brain-inspired computation devices low-dimensional materials neuromorphics |
| title | Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics |
| title_full | Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics |
| title_fullStr | Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics |
| title_full_unstemmed | Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics |
| title_short | Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics |
| title_sort | operating principle and device configuration driven mechanisms in low dimensional materials for neuromorphics |
| topic | artificial intelligence brain-inspired computation devices low-dimensional materials neuromorphics |
| url | https://doi.org/10.1002/aisy.202200316 |
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