About this Research Topic
Emerging materials and devices offer several advantages compared to traditional CMOS computing methods. In addition to their potential for neuromorphic computing, they can provide higher energy efficiency, faster processing speeds, and higher memory density. Furthermore, emerging materials can enable novel device architectures that are impossible with conventional silicon-based devices, such as flexible and stretchable ones. All these advantages make emerging materials and devices attractive for a wide range of applications, including artificial intelligence, the Internet of Things, and wearable electronics.
It is worth noting that the advantages of emerging materials and devices in computing go beyond what we currently know. As research in this field progresses, there may be discoveries of new benefits that are yet unknown. These could lead to the development of innovative applications and technologies that could revolutionize how we process and analyze data and transform various fields such as healthcare, finance, and transportation. Therefore, it is essential to continue exploring and investing in emerging materials and devices in computing to uncover their full potential and reap the benefits they offer.
As the era of Big Data progresses, the demand for devices capable of managing large amounts of data with high volume, velocity, and variety continues to grow. Therefore, this Research Topic seeks to investigate advanced research studies that can fulfill the computing needs of the Big Data era. We encourage the submission of original research works (experimental, numerical, or theoretical) related to Neuromorphic Computing, with topics of interest including, but not limited to, the following:
1. Emerging Materials: Techniques that facilitate the creation of devices with greater efficiency and effectiveness. This involves analyzing the characteristics of diverse materials and researching innovative fabrication methods that can improve their performance and functionality. The acceptable materials include but are not limited to, 2D materials, MTJ, Ferroelectric, Flexible materials, and organic materials. Submissions related to the discovery and development of such materials are welcomed.
2. Mechanism Study: Investigation of the underlying mechanisms of novel devices and exploration of new physical properties and phenomena that could enhance their capabilities.
3. System Design: Exploration of innovative system designs that can integrate with upcoming new device types and exploit their unique properties.
4. Neuromorphic Computing and AI Applications: Investigation of the applications of Neuromorphic Computing and AI utilizing emerging devices in different applications, such as image and speech recognition. In addition, developing new algorithms and architectures to optimize their performance.
Keywords: neuromorphic, computation-in-memory, Novel devices, emerging materials, AI acceleration, Big data
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.