Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.07045 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912576725581824 |
|---|---|
| author | Li, Xinye Majumdar, Sayani |
| author_facet | Li, Xinye Majumdar, Sayani |
| contents | Neuromorphic computing, inspired by biological intelligence, offers a pathway to revolutionize artificial intelligence (AI) by unifying memory and processing in an energy-efficient, sustainable framework for data-intensive tasks. Ferroelectric (FE) materials have emerged as promising candidates for implementing artificial synapses, yet achieving low-voltage operation in CMOS back-end compatible devices remains a major challenge. In this work, we demonstrate that proper tuning of ferro and antiferroelectric phases in HfO2-ZrO2(HZO) superlattice based capacitors can lead to imprint-free switching with record switchable polarization (2Pr) of 76 micro Coulomb cm-2 under an external field of only 2 MV cm-1. The sizable remanent polarization of the superlattice HZO further enables linear potentiation and depression with an on to off ratio of 20 within a 3 MV cm-1 bias window. Under pulsed operation, the devices show robust endurance, either maintaining polarization with less than 10 per cent degradation up to 10^8 cycles or surviving beyond 10^9 cycles with recoverable fatigue. By elucidating two distinct fatigue mechanisms, this work highlights strategies for optimizing FE devices to meet the stringent demands of neuromorphic training applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_07045 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Record High Polarization at 2V and Imprint-free operation in Superlattice HfO2-ZrO2 by Proper Tuning of Ferro and Antiferroelectricity Li, Xinye Majumdar, Sayani Materials Science Neuromorphic computing, inspired by biological intelligence, offers a pathway to revolutionize artificial intelligence (AI) by unifying memory and processing in an energy-efficient, sustainable framework for data-intensive tasks. Ferroelectric (FE) materials have emerged as promising candidates for implementing artificial synapses, yet achieving low-voltage operation in CMOS back-end compatible devices remains a major challenge. In this work, we demonstrate that proper tuning of ferro and antiferroelectric phases in HfO2-ZrO2(HZO) superlattice based capacitors can lead to imprint-free switching with record switchable polarization (2Pr) of 76 micro Coulomb cm-2 under an external field of only 2 MV cm-1. The sizable remanent polarization of the superlattice HZO further enables linear potentiation and depression with an on to off ratio of 20 within a 3 MV cm-1 bias window. Under pulsed operation, the devices show robust endurance, either maintaining polarization with less than 10 per cent degradation up to 10^8 cycles or surviving beyond 10^9 cycles with recoverable fatigue. By elucidating two distinct fatigue mechanisms, this work highlights strategies for optimizing FE devices to meet the stringent demands of neuromorphic training applications. |
| title | Record High Polarization at 2V and Imprint-free operation in Superlattice HfO2-ZrO2 by Proper Tuning of Ferro and Antiferroelectricity |
| topic | Materials Science |
| url | https://arxiv.org/abs/2509.07045 |