Light-induced giant random telegraph noise in CuScP2S6/MoS2 heterostructures and their use in noise resilience image inference
as a model platform in which light-tunable RTN connects microscopic defect dynamics to macroscopic conductance fluctuations, opening opportunities to engineer noise itself as a functional degree of freedom in photonic and neuromorphic hardware.
Authors
- Saptarshi Das (ORCID: https://orcid.org/0000-0002-0188-945X)
- Anshul Rasyotra (ORCID: https://orcid.org/0000-0001-7294-4420)
- Rui Gusmão (ORCID: https://orcid.org/0000-0001-6358-7601)
- Samriddha Ray
- Dipanjan Sen (ORCID: https://orcid.org/0000-0002-5781-4027)
- Zdeněk Sofer (ORCID: https://orcid.org/0000-0002-1391-4448)
- Arpan Ghosh
- Rishikesh T. Nair
Institutions
- Pennsylvania State University (US)
- University of Chemistry and Technology, Prague (CZ)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-04-16
- DOI
- https://doi.org/10.1038/s41467-026-71034-6
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Ministerstvo Školství, Mládeže a Tělovýchovy
- Office of Naval Research
- Division of Electrical, Communications and Cyber Systems
- Army Research Office