journal article·2026-04Open access

Molecularly Engineered Highly Stable Memristors with Ultra‐Low Operational Voltage: Integrating Synthetic DNA with Quasi‐2D Perovskites

Kavya S. Keremane, Abhinav Gorthy, Luyao Zheng, Chiranth C Ravi, Haodong Wu, Jiamao Zheng, Neela H. Yennawar, Shashank Priya, Rashmi Jha, Bed Poudel

Advanced Functional Materials· Volume 36· Issue 34

Abstract

ABSTRACT Innovative data storage and processing technologies have attracted tremendous attention alongside the rapid advancement of artificial intelligence (AI) in recent years. The growing demands drive various sectors to explore emerging semiconducting materials beyond conventional silicon and metal oxide‐based non‐volatile memories. Bio‐derived materials such as deoxyribonucleic acid (DNA) present unique opportunities for next‐generation non‐volatile memory (NVM) due to their programmable architecture and exceptional information density, enabling new possibilities for biogenetic data storage. However, the electronic‐biogenetic interface remains largely unexplored. Herein, we report the synthetic DNA‐assisted hybrid memory devices combining quasi‐2D halide perovskites (OHPs) (PEA) 2 (MA) n‐1 Pb n I 3n+1 (n = 2) and Ag nanoparticle (NP) embedded synthetic 22‐mer DNA (Ag‐synDNA) composite, demonstrating remarkable resistive switching (RS) performance. The robust Ag/(PEA) 2 (MA)Pb 2 I₇/AgNP‐DNA/Pt memristor arrays demonstrate exceptional characteristics, including ultra‐low operation voltage (<0.1 V), record‐low power density (0.01 W/cm 2 ), forming‐free operation, stable endurance (10 3 cycles), and excellent retention (4 × 10 3 s), maintaining a high ON/OFF ratio (>10 5 ) for more than 6 weeks under ambient conditions, outperforming pristine 2D OHP and unmodified DNA‐based counterparts. This synergistic integration of customized DNA and 2D OHP enhances charge transport, reduces variability, and significantly boosts storage performance, establishing hybrid DNA‐perovskite memristors as promising candidates for future energy‐efficient data storage applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Perovskite Materials and Applications · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering Pennsylvania State University University Park Pennsylvania USA

Department of Electrical and Computer Engineering University of Cincinnati Cincinnati Ohio USA

Optoelectronic Materials and Devices Laboratory Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences (CAS) Ningbo Zhejiang China

The Huck Institutes of the Life Sciences Pennsylvania State University University Park Pennsylvania USA

Chemical Engineering and Materials Science University of Minnesota Minneapolis Minnesota USA

Funding

National Science Foundation · University of Minnesota

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