Abstract
Phase change memory (PCM) is one of the leading candidates for neuromorphic hardware and has recently matured as a storage class memory. Yet, energy and power consumption remain key challenges for this technology because part of the PCM device must be self-heated to its melting temperature during reset. Here, it is shown that this reset energy can be reduced by nearly two orders of magnitude by minimizing the pulse width. A high-speed measurement setup is utilized to probe the energy consumption in PCM cells with varying pulse width (0.3–40 nanoseconds) and uncover the power dissipation dynamics. A key finding is that the switching power (P) remains unchanged for pulses wider than a short thermal time constant of the PCM (τth < 1 ns in 50 nm diameter device), resulting in a decrease of energy (E = P × τ) as the pulse width τ is reduced in that range. Thermal confinement during short pulses is achieved by limiting the heat diffusion time. The improved programming scheme reduces reset energy density below 0.1 nJ µm−2, over an order of magnitude lower than state-of-the-art PCM, potentially changing the roadmap of future data storage technology and paving the way toward energy-efficient neuromorphic hardware.
| Original language | English |
|---|---|
| Article number | 2100217 |
| Journal | Advanced Electronic Materials |
| Volume | 7 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2021 |
Keywords
- energy efficiency
- non-volatile memory
- phase change materials
- sub-nanosecond probing
- thermal management
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials