Constrained Few-shot Class-incremental Learning
Michael Hersche, Geethan Karunaratne, et al.
CVPR 2022
Phase change memory (PCM) is considered an enabling technology for non-volatile multilevel data storage and neuromorphic computing. Recent advancements in PCM have highlighted the need to improve resistance drift and energy efficiency. At present, binary alloys that phase-separate upon crystallization offer a promising solution. The Al–Sb binary alloy crystallizes into a rhombohedral Sb-rich phase and a cubic AlSb phase, with the latter having a higher melting temperature that enables selective melting of the Sb-rich phase for partial RESET programming. Continuum resistance states result from a reversible alloying process, in which programming pulses modulate the granularity and aluminum content of the amorphous Sb-rich phase. – PCM cells, fabricated on Si-foundry templates, exhibit a high resistance contrast of up to 4000× between fully amorphous and crystalline states, along with a low resistance drift coefficient (∼0.06). The high melting point of AlSb also leads to nanoscale compositional heterogeneity, which persists in the amorphous state, suppressing structural relaxation and thus reducing resistance drift. These findings position – as a promising material for engineering multilevel PCM cells based on phase-separating alloys.
Michael Hersche, Geethan Karunaratne, et al.
CVPR 2022
Jinghan Huang, Hyungyo Kim, et al.
MICRO 2025
Valeria Bragaglia, Tommaso Stecconi, et al.
CMD 2023
Chris Bottoms, Rick Johnson, et al.
SPIE Advanced Lithography + Patterning 2025