Accelerating Deep Neural Networks with Analog Memory Devices
Stefano Ambrogio, Pritish Narayanan, et al.
AICAS 2020
Phase transformation generally begins with nucleation, in which a small aggregate of atoms organizes into a different structural symmetry. The thermodynamic driving forces and kinetic rates have been predicted by classical nucleation theory, but observation of nanometer-scale nuclei has not been possible, except on exposed surfaces. We used a statistical technique called fluctuation transmission electron microscopy to detect nuclei embedded in a glassy solid, and we used a laser pump-probe technique to determine the role of these nuclei in crystallization. This study provides a convincing proof of the time- and temperature-dependent development of nuclei, information that will play a critical role in the development of advanced materials for phase-change memories.
Stefano Ambrogio, Pritish Narayanan, et al.
AICAS 2020
Pritish Narayanan, Geoffrey W. Burr, et al.
DRC 2014
Rohit S. Shenoy, Geoffrey W. Burr, et al.
Semiconductor Science and Technology
Alvaro Padilla, Geoffrey W. Burr, et al.
Journal of Applied Physics