MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing
Highlights This review reveals the advantages of MXene-Ti3C2Tx for neuromorphic devices, classifies the core physical mechanisms, and outlines strategies to drive targeted optimization and future innovation. The review outlines three key engineering strategies: doping engineering, interfacial engine...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-05-01
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| Series: | Nano-Micro Letters |
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| Online Access: | https://doi.org/10.1007/s40820-025-01787-0 |
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| _version_ | 1849342338434859008 |
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| author | Kaiyang Wang Shuhui Ren Yunfang Jia Xiaobing Yan Lizhen Wang Yubo Fan |
| author_facet | Kaiyang Wang Shuhui Ren Yunfang Jia Xiaobing Yan Lizhen Wang Yubo Fan |
| author_sort | Kaiyang Wang |
| collection | DOAJ |
| description | Highlights This review reveals the advantages of MXene-Ti3C2Tx for neuromorphic devices, classifies the core physical mechanisms, and outlines strategies to drive targeted optimization and future innovation. The review outlines three key engineering strategies: doping engineering, interfacial engineering, and structural engineering, while also providing comprehensive guidance for material and device improvement. MXene-Ti3C2Tx-based devices demonstrate groundbreaking potential in next-generation computing, such as near-sensor computing and in-sensor computing, enabling faster and more energy-efficient data processing directly at the sensor level. |
| format | Article |
| id | doaj-art-f1fa6d58224c46e19b1eb5f77ea46adf |
| institution | Kabale University |
| issn | 2311-6706 2150-5551 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nano-Micro Letters |
| spelling | doaj-art-f1fa6d58224c46e19b1eb5f77ea46adf2025-08-20T03:43:26ZengSpringerOpenNano-Micro Letters2311-67062150-55512025-05-0117115210.1007/s40820-025-01787-0MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge ComputingKaiyang Wang0Shuhui Ren1Yunfang Jia2Xiaobing Yan3Lizhen Wang4Yubo Fan5Medical Engineering & Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang UniversityCollege of Electronic Information and Optical Engineering, Nankai UniversityCollege of Electronic Information and Optical Engineering, Nankai UniversityKey Laboratory of Brain-Like Neuromorphic Devices Systems of Hebei Province College of Electron and Information Engineering, Jiaruiyuan Biochip Research Center of Hebei University, Hebei UniversityMedical Engineering & Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang UniversityMedical Engineering & Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang UniversityHighlights This review reveals the advantages of MXene-Ti3C2Tx for neuromorphic devices, classifies the core physical mechanisms, and outlines strategies to drive targeted optimization and future innovation. The review outlines three key engineering strategies: doping engineering, interfacial engineering, and structural engineering, while also providing comprehensive guidance for material and device improvement. MXene-Ti3C2Tx-based devices demonstrate groundbreaking potential in next-generation computing, such as near-sensor computing and in-sensor computing, enabling faster and more energy-efficient data processing directly at the sensor level.https://doi.org/10.1007/s40820-025-01787-0Neuromorphic deviceMXene-Ti3C2TxPhysical mechanismsPerformance improvementCutting-edge computing |
| spellingShingle | Kaiyang Wang Shuhui Ren Yunfang Jia Xiaobing Yan Lizhen Wang Yubo Fan MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing Nano-Micro Letters Neuromorphic device MXene-Ti3C2Tx Physical mechanisms Performance improvement Cutting-edge computing |
| title | MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing |
| title_full | MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing |
| title_fullStr | MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing |
| title_full_unstemmed | MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing |
| title_short | MXene-Ti3C2Tx-Based Neuromorphic Computing: Physical Mechanisms, Performance Enhancement, and Cutting-Edge Computing |
| title_sort | mxene ti3c2tx based neuromorphic computing physical mechanisms performance enhancement and cutting edge computing |
| topic | Neuromorphic device MXene-Ti3C2Tx Physical mechanisms Performance improvement Cutting-edge computing |
| url | https://doi.org/10.1007/s40820-025-01787-0 |
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