Szczegóły publikacji

Opis bibliograficzny

Control over dynamic plasticity phenomena in perovskite-based nanoparticles by fine tuning of surface ligand architecture / Gisya ABDI, Michał SZUWARZYŃSKI, Mariusz Borkowski, Łukasz MAZUR, Marta GAJEWSKA, Agnieszka PODBORSKA, Chakkooth Vijayakumar, Konrad SZACIŁOWSKI, Tomasz MAZUR // BioNanoScience ; ISSN  2191-1630 . — 2026 — vol. 16 iss. 3 art. no. 228, s. 1–11. — Bibliogr. s. 10–11, Abstr. — Publikacja dostępna online od: 2026-03-05

Autorzy (9)

Słowa kluczowe

memristorresistive switchingperovskite nanoparticle

Dane bibliometryczne

ID BaDAP168503
Data dodania do BaDAP2026-07-20
Tekst źródłowyURL
DOI10.1007/s12668-026-02477-w
Rok publikacji2026
Typ publikacjiartykuł w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaBioNanoScience

Abstract

Methylammonium lead bromide (MAPbBr(3)) nanoparticles capped with alkylammonium ligands of varying chain length were synthesized and characterized using standard spectroscopic and microscopic techniques. Dispersed within a polymer matrix, these nanocrystals were incorporated into prototype memristive devices that exhibit tunable synaptic functionalities, such as potentiation, depression, and spike rate-dependent plasticity (SRDP). The increasing insulating character of the surface ligands enabled tunable device performance, particularly in terms of operating voltage ranges and shape of the electrical response. This ligand-dependent modulation offers a versatile platform for tailoring the electronic behavior of nanostructured perovskite-based systems. Notably, devices constructed with nanoparticle-polymer blends exhibited enhanced stability compared to conventional bulk perovskite devices. This approach offers a scalable pathway for engineering robust, adaptable information processing devices for next-generation neuromorphic computing.