A newly developed transparent and flexible one-transistor memory device using advanced nanomaterials for medical and artificial intelligence applications
Received 6 January 2019
Accepted for publication 11 March 2019
Published 23 July 2019 Volume 2019:14 Pages 5691—5696
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Prof. Dr. Anderson Oliveira Lobo
Mingzhi Dai1,2, Yongbin Hu,3 Changhe Huo,1 Thomas J Webster,4 Liqiang Guo3
1Ningbo Institute of Materials and Technology Engineering, Chinese Academy of Sciences, Beijing 315201, People’s Republic of China; 2Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China; 3Micro/Nano Science & Technology Center, Jiangsu University, Zhenjiang 212013, People’s Republic of China; 4Northeastern University, Boston, MA, USA
Background: Artificial intelligence (AI) integrated circuits (IC) have memory devices as the key component. Due to more complex algorithms and architectures required by neuroscience and other medical applications, various memory structures have been widely proposed and investigated by involving nanomaterials, such as memristors.
Methods: Due to reliability issues of mass production, the dominant memory devices in many computers are still dynamic random access memory (DRAM). A DRAM has one transistor and one capacitor, and so it contains two devices and requires a more compact design to replace.
Results: A one-transistor memory device which is more compact than DRAM is proposed. As far as the authors know, this is the first/novel flexible and transparent one-transistor memory device without any additional process to make a typical transistor and which is based on polyvinyl alcohol. By using indium-titanium-oxide (ITO) as the metal gate, PVA as the dielectric layer and In-Ga-Zn-O (IGZO) as the channel, the memory is implemented mainly based on amorphous oxides and transparent flexible nanomaterials. The charge storage for the memory function was investigated here and is attributed to the mechanism of charge trapping between the ITO/IGZO junctions. It shows typical artificial synaptic transmission behaviors such as EPSC (excitatory postsynaptic currents).
Conclusion: Such a first flexible and transparent one-transistor memory device based on PVA has one capacitor less than DRAM and could be a potential and promising candidate as an alternative for DRAM, especially in the highly complex AI chips needed for numerous medical applications. The flexible memory nanodevice based on flexible dielectrics such as PVA, which shows typical memory and artificial synaptic behaviors, could also be suitable for portable, flexible, transparent or skin-like medical applications.
Keywords: flexible, transparent, one-transistor memory, micro-nano electronics, artificial intelligence
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