R&D: Band-to-Band Tunneling Based Unified RAM (URAM) for Low Power Embedded Applications
Results presented in paper will pave way for designing futuristic low-power multi-purpose embedded memory.
This is a Press Release edited by StorageNewsletter.com on December 27, 2024 at 2:00 pmIEEE Transactions on Nanotechnology has published an article written by Avinash Lahgere, Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India, Alok Kumar Kamal, Department of Electrical/Electronics Engineering ABV-IIITM, Gwalior, India, and Rishu Kumar, Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India.
Abstract: “In this article, we have reported a tunnel field effect transistor (TFET) based unified random access memory (T-URAM), where nonvolatile memory (NVM) and single transistor (1T) DRAM are integrated into a single TFET device. The proposed T-URAM uses a band-to-band tunneling (BTBT) conduction mechanism for programming the NVM and 1T DRAM, in contrast to previously published URAMs. The application of BTBT results in two major advantages: (1) the need for low supply voltage, and (2) disturbancefree NVM operation. Moreover, the T-URAM also exhibits interference-free memory operation due to the use of separate gates for the NVM, and 1T DRAM, respectively. The simulation results reveal that the T-URAM demands 1.5× to 4.5× less supply voltage as compared to the published URAMs. The retention time (RT) of T-URAM during 1T DRAM mode at 358 K is found to be 500 ms, which is ∼ 62.5×, and ∼ 7.8× higher than the buried n-well bulk FinFET URAM, and ITRS prediction, respectively. Moreover, at gate length of 50 nm, the RT of the T-URAM during NVM mode is the same as in the case of the past reported URAMs. In addition, the sense margin of the T-URAM during 1T DRAM mode at 358 K is found to be ∼ 1.9 μA/μm, which is ∼ 7.6× higher than the TFT-based URAM. Also, we have shown a possible way to implement a 2×2 crossbar memory array using the proposed memory. Therefore, the results presented in this paper will pave the way for designing futuristic low-power multi-purpose embedded memory.“