Trap-Controlled Multi-Level Switching in In-Doped GeSbSe for Selector-Only Memory

Selector-only memory (SOM) based on ovonic threshold switching (OTS) is an attractive platform for high-density memory architectures because it combines a simple device stack with volatile conduction switching and a nonvolatile threshold voltage (Vth). However, multibit operation has remained challenging due to the lack of verifying schemes capable of discriminating multiple Vth levels without destructive readout. Here, multibit Vth programming in SOM is achieved by engineering the amplitude and width of programming pulses, producing well-separated threshold states within a practical memory window. To enable reliable state discrimination, two SOM-specific verifying strategies are introduced. Subthreshold current verification distinguishes programmed states using a voltage below the lowest Vth by comparing preswitching currents. Compliance-limited reference verification adopts a boundary-voltage concept inspired by NAND flash while enforcing current compliance to suppress threshold switching (TS) and prevent state perturbation. Together, these approaches enable stable and repeatable multibit operation while preserving the programmed Vth distribution. Furthermore, the discrete and noncumulative Vth states enable deterministic finite-state-machine (FSM) functionality, where sequential electrical inputs are mapped to distinct state trajectories. This trajectory-based operation establishes SOM as both a viable multibit memory and a compact hardware primitive for sequential information processing.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2026-09-10
DOI
https://doi.org/10.1021/acsami.6c10232
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Trap-Controlled Multi-Level Switching in In-Doped GeSbSe for Selector-Only Memory

Min Yang, Won Hee Jeong, Gun Hwan Kim
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

Trap-Controlled Multi-Level Switching in In-Doped GeSbSe for Selector-Only Memory

Min Yang, Won Hee Jeong, Gun Hwan Kim
article en

Abstract

Selector-only memory (SOM) based on ovonic threshold switching (OTS) is an attractive platform for high-density memory architectures because it combines a simple device stack with volatile conduction switching and a nonvolatile threshold voltage (Vth). However, multibit operation has remained challenging due to the lack of verifying schemes capable of discriminating multiple Vth levels without destructive readout. Here, multibit Vth programming in SOM is achieved by engineering the amplitude and width of programming pulses, producing well-separated threshold states within a practical memory window. To enable reliable state discrimination, two SOM-specific verifying strategies are introduced. Subthreshold current verification distinguishes programmed states using a voltage below the lowest Vth by comparing preswitching currents. Compliance-limited reference verification adopts a boundary-voltage concept inspired by NAND flash while enforcing current compliance to suppress threshold switching (TS) and prevent state perturbation. Together, these approaches enable stable and repeatable multibit operation while preserving the programmed Vth distribution. Furthermore, the discrete and noncumulative Vth states enable deterministic finite-state-machine (FSM) functionality, where sequential electrical inputs are mapped to distinct state trajectories. This trajectory-based operation establishes SOM as both a viable multibit memory and a compact hardware primitive for sequential information processing.

ACS Applied Materials & Interfaces
Yonsei University (KR), Sahmyook University (KR)
Reduced inequalities
Openalex Percentile: Top 20%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.