A-Site Cation Functional Engineering Enables Lead-free Perovskite Photosynapse for Neuromorphic Visual Computing
devices further demonstrate a high accuracy of 97.5% for image recognition. Overall, this work introduces a new lead-free perovskite platform and highlights A-site cation functional engineering as an effective strategy for realizing sustainable and low-power neuromorphic visual computing.
Authors
- Fandi Chen (ORCID: https://orcid.org/0000-0002-4298-2925)
- Chun‐Ho Lin (ORCID: https://orcid.org/0000-0003-0882-4728)
- Xinwei Guan (ORCID: https://orcid.org/0000-0002-0100-480X)
- Tianqi Huang
- Shimul Kanti Nath (ORCID: https://orcid.org/0000-0002-6302-067X)
- Mohit N. Shivdasani (ORCID: https://orcid.org/0000-0002-0692-4971)
- Dewei Chu (ORCID: https://orcid.org/0000-0003-4581-0560)
- Tianruo Guo (ORCID: https://orcid.org/0000-0001-6348-6771)
- Zhihao Lei
- Xinyu Ma
- Beining Dong
- Tingting Mei
- Tianxu Huang
- Zijian Feng
- Jiabao Yi (ORCID: https://orcid.org/0000-0001-5299-9897)
- Long Hu (ORCID: https://orcid.org/0000-0001-7408-5631)
Institutions
- King Fahd University of Petroleum and Minerals (SA)
- UNSW Sydney (AU)
- Hawaii Hydrogen Carriers (United States) (US)
- Macquarie University (AU)
Publication Details
- Journal
- ACS Applied Materials & Interfaces
- Published
- 2026-04-14
- DOI
- https://doi.org/10.1021/acsami.6c02560
- Primary Topic
- Perovskite Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Australian Research Council