CMOS-Compatible AlScN Memristor on Silicon Exhibiting Short-Term Memory for Reservoir Computing

We report a CMOS-compatible ferroelectric memristor based on a TiN/AlScN/n+ Si metal ferroelectric semiconductor (MFS) structure, fabricated entirely via low-temperature sputtering processes. The ultrathin AlScN film exhibits robust ferroelectricity with a high remanent polarization (2Pr ≈ 80.91 μC/cm2) and excellent endurance over 105 cycles, while maintaining uniform switching across cells. Notably, the use of a heavily doped silicon bottom electrode enables full compatibility with conventional back-end-of-line (BEOL) CMOS processes and facilitates integration with silicon-based circuits. Beyond stable memory performance, the device demonstrates volatile short-term memory (STM) behavior originating from depolarization field-induced polarization relaxation, which is essential for neuromorphic dynamics. Leveraging this STM feature, the device was implemented as a physical reservoir in a reservoir computing (RC) framework, achieving 97.64% classification accuracy on the MNIST dataset using temporally coded inputs. These results highlight the potential of AlScN-based ferroelectric memristors as dynamic CMOS-compatible building blocks for in-memory and neuromorphic computing.

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Publication Details

Journal
Biomimetics
Published
2026-07-23
DOI
https://doi.org/10.3390/biomimetics11080519
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00

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article

CMOS-Compatible AlScN Memristor on Silicon Exhibiting Short-Term Memory for Reservoir Computing

Maria Rasheed, Sungjun Kim, Hyojeong Chae, Woohyun Park
Biomimetics
Ferroelectric and Negative Capacitance Devices
article

CMOS-Compatible AlScN Memristor on Silicon Exhibiting Short-Term Memory for Reservoir Computing

Maria Rasheed, Sungjun Kim, Hyojeong Chae, Woohyun Park
article en

Abstract

We report a CMOS-compatible ferroelectric memristor based on a TiN/AlScN/n+ Si metal ferroelectric semiconductor (MFS) structure, fabricated entirely via low-temperature sputtering processes. The ultrathin AlScN film exhibits robust ferroelectricity with a high remanent polarization (2Pr ≈ 80.91 μC/cm2) and excellent endurance over 105 cycles, while maintaining uniform switching across cells. Notably, the use of a heavily doped silicon bottom electrode enables full compatibility with conventional back-end-of-line (BEOL) CMOS processes and facilitates integration with silicon-based circuits. Beyond stable memory performance, the device demonstrates volatile short-term memory (STM) behavior originating from depolarization field-induced polarization relaxation, which is essential for neuromorphic dynamics. Leveraging this STM feature, the device was implemented as a physical reservoir in a reservoir computing (RC) framework, achieving 97.64% classification accuracy on the MNIST dataset using temporally coded inputs. These results highlight the potential of AlScN-based ferroelectric memristors as dynamic CMOS-compatible building blocks for in-memory and neuromorphic computing.

BiomimeticsVol. 11(8)
Dongguk University (KR)
National Research Foundation of Korea, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 15%
Ferroelectric and Negative Capacitance Devices
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CMOS-Compatible AlScN Memristor on Silicon Exhibiting Short-Term Memory for Reservoir Computing — Maria Rasheed, Sungjun Kim, et al. · Biomimetics (2026) | TGRS Research Map | TGRS