Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights. Issue 2 (1st June 2022)
- Record Type:
- Journal Article
- Title:
- Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights. Issue 2 (1st June 2022)
- Main Title:
- Effect of cycling on ultra-thin HfZrO4, ferroelectric synaptic weights
- Authors:
- Bégon-Lours, Laura
Halter, Mattia
Sousa, Marilyne
Popoff, Youri
Dávila Pineda, Diana
Falcone, Donato Francesco
Yu, Zhenming
Reidt, Steffen
Benatti, Lorenzo
Puglisi, Francesco Maria
Offrein, Bert Jan - Abstract:
- Abstract: Two-terminal ferroelectric synaptic weights are fabricated on silicon. The active layers consist of a 2 nm thick WO x film and a 2.7 nm thick HfZrO4 (HZO) film grown by atomic layer deposition. The ultra-thin HZO layer is crystallized in the ferroelectric phase using a millisecond flash at a temperature of only 500 °C, evidenced by x-rays diffraction and electron microscopy. The current density is increased by four orders of magnitude compared to weights based on a 5 nm thick HZO film. Potentiation and depression (analog resistive switching) is demonstrated using either pulses of constant duration (as short as 20 nanoseconds) and increasing amplitude, or pulses of constant amplitude (+/−1 V) and increasing duration. The cycle-to-cycle variation is below 1%. Temperature dependent electrical characterisation is performed on a series of device cycled up to 10 8 times: they reveal that HZO possess semiconducting properties. The fatigue leads to a decrease, in the high resistive state only, of the conductivity and of the activation energy.
- Is Part Of:
- Neuromorphic computing and engineering. Volume 2:Issue 2(2022)
- Journal:
- Neuromorphic computing and engineering
- Issue:
- Volume 2:Issue 2(2022)
- Issue Display:
- Volume 2, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 2
- Issue:
- 2
- Issue Sort Value:
- 2022-0002-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-06-01
- Subjects:
- hafnium zirconate -- ferroelectrics -- synaptic weights
Neural networks (Computer science) -- Periodicals
Neural computers -- Periodicals
Neuromorphics -- Periodicals
006.3 - Journal URLs:
- http://www.iop.org/ ↗
https://iopscience.iop.org/journal/2634-4386 ↗ - DOI:
- 10.1088/2634-4386/ac5b2d ↗
- Languages:
- English
- ISSNs:
- 2634-4386
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22310.xml