The memristor is an electronic component that has a memory effect on the amount of charge passing through it, and it is used in many fields. The characteristics of small size, low energy consumption and non-volatility make memristors efficient for information storage. It can be used in storage and computing fusion design, artificial intelligence and neural networks. Thus, it is very important to construct memristors and explore research in related fields for electronic information and intelligent science. And in-depth research on the memristor, meminductor and memcapacitor have been proposed, which not only improve the circuit theory, but also provide more application directions for memory elements.
Research on memristors has always been a hot issue. With the gradual deepening of research, memristor theory has become an interdisciplinary subject related to materials, physics and electronic information. Therefore, the research progress related to memristors has gradually accelerated, and a large number of valuable results have been obtained. However, there are still some problems and difficulties when disciplines cross. Therefore, we organize this Research Topic to discuss new situations and new challenges in memristors and applications based on memristors in the hope of showing some interesting research results.
This Research Topic focuses on exploring the recent advances of the memristor and its applications. Interesting research work on the design of the memristor, the application of memristor in information storage and neuromorphic computing, and other contents corresponding to the subject of this collection are welcome.
1) Design and implementation of the memristor
2) The application of memristor in information storage
3) The application of memristor in neuromorphic computing
4) Design and application of chaotic system based on memristor
5) Chip design based on memristor
6) Research on non-von neumann architecture theory based on memristor
7) Design and application of meminductor and memcapacitor based on memristor theory
8) Memristor based network
The memristor is an electronic component that has a memory effect on the amount of charge passing through it, and it is used in many fields. The characteristics of small size, low energy consumption and non-volatility make memristors efficient for information storage. It can be used in storage and computing fusion design, artificial intelligence and neural networks. Thus, it is very important to construct memristors and explore research in related fields for electronic information and intelligent science. And in-depth research on the memristor, meminductor and memcapacitor have been proposed, which not only improve the circuit theory, but also provide more application directions for memory elements.
Research on memristors has always been a hot issue. With the gradual deepening of research, memristor theory has become an interdisciplinary subject related to materials, physics and electronic information. Therefore, the research progress related to memristors has gradually accelerated, and a large number of valuable results have been obtained. However, there are still some problems and difficulties when disciplines cross. Therefore, we organize this Research Topic to discuss new situations and new challenges in memristors and applications based on memristors in the hope of showing some interesting research results.
This Research Topic focuses on exploring the recent advances of the memristor and its applications. Interesting research work on the design of the memristor, the application of memristor in information storage and neuromorphic computing, and other contents corresponding to the subject of this collection are welcome.
1) Design and implementation of the memristor
2) The application of memristor in information storage
3) The application of memristor in neuromorphic computing
4) Design and application of chaotic system based on memristor
5) Chip design based on memristor
6) Research on non-von neumann architecture theory based on memristor
7) Design and application of meminductor and memcapacitor based on memristor theory
8) Memristor based network