Overcoming Local Distribution Limits in the SNC Process in a 10-nm Node DRAM by Applying a Multilayer Contact
Due to the rapidly shrinking size of the dynamic random access memory (DRAM) cell, mitigating the characteristic degradation caused by the local distribution of the contact size is becoming a greater challenge. The size of the DRAM storage node contact (SNC) determines the amount of phosphorus (P) dopant that diffuses into the active region. Smaller contact size limits the out-diffusion of P dopant and increases the SNC resistance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}_{\text {SNC}}$ </tex-math></inline-formula>) and overlap resistance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${R}_{\text {OV}}$ </tex-math></inline-formula>). This results in characteristic degradation of the last data into row precharge time (tRDL). For larger contact sizes, the out-diffusion of P dopant expands to increase the gate-induced drain leakage (GIDL) and decrease the retention time (tRET). To address this tradeoff issue, we propose a multilayer contact design using a combination of high and low P concentrations, where the doping concentration changes as a function of SNC size. We used atom probe tomography (APT), electrical test (ET) on test element groups (TEGs), and electrical die sorting (EDS) to analyze the correct formation and characteristic performance improvements of the proposed structures. Using the proposed design structure, the tRET and tRDL characteristics improved by 3.9% and 34.7%, respectively.
Authors
- Seungwan Jang
- SoYoung Kim
Institutions
- Sungkyunkwan University (KR)
Publication Details
- Journal
- IEEE Transactions on Electron Devices
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1109/ted.2024.3474609
- Citations
- 2
- Primary Topic
- Advancements in Semiconductor Devices and Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 0.42