A Multifunctional Volatile Memristor Based on Organic–Inorganic Hybrid Ultrathin Films for Artificial Nociceptor and Edge/Reservoir Computing

It is a challenge to endow intelligent robots with damage perception and forecast temporal data using nonvolatile memristor devices; however, volatile memristors can circumvent this issue owing to their unique ability of efficient encoding information and oblivion feature. At present, the emerging study mainly concentrates on inorganic volatile memristive materials. Herein, a multifunctional volatile memristor based on organic-inorganic hybrid ultrathin thin films has been developed for artificial nociceptor and edge/reservoir computing, which consists of a functional layer of 6 nm thick titanium-based maleic acid (Ti-MA) and 4 nm thick Al<sub>2</sub>O<sub>3</sub> prepared by molecular/atomic layer deposition (MLD/ALD). The ultrathin bilayer memristor of TiN/Ti-MA/Al<sub>2</sub>O<sub>3</sub>/Pt (TTAP) contributes to the precise tuning of the gradient distribution of oxygen vacancies, ensuring excellent reproducibility, endurance, and consistency of the memristor with a lower set/reset energy consumption. The volatility nature of the TTAP device originates from the natural diffusion of oxygen vacancies in the absence of external voltage. A series of important biosynaptic functions have been emulated in a single TTAP device. The multifunctional applications, including biological nociceptor, edge computing and reservoir computing, Pavlovian conditioning, and pattern recognition, are demonstrated in volatile organic-inorganic hybrid devices, showcasing exceptional capacity to process data. This work opens an avenue for MLD/ALD organic-inorganic hybrid volatile memristor applications in brain-inspired neuromorphic computing and artificial intelligence based on the versatility and multifunctionality of the TTAP memristor.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-09-25
DOI
https://doi.org/10.1021/acsami.5c15142
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Multifunctional Volatile Memristor Based on Organic–Inorganic Hybrid Ultrathin Films for Artificial Nociceptor and Edge/Reservoir Computing

Di Wu, Jingjing Wei, Aidong Li, Song Sun et al.
ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

A Multifunctional Volatile Memristor Based on Organic–Inorganic Hybrid Ultrathin Films for Artificial Nociceptor and Edge/Reservoir Computing

Di Wu, Jingjing Wei, Aidong Li, Song Sun, Yingjie Ma, Lin Zhu, Fu‐Rui Teng, Chang Liu, Xinxin Wang, Liling Fu
article en

Abstract

It is a challenge to endow intelligent robots with damage perception and forecast temporal data using nonvolatile memristor devices; however, volatile memristors can circumvent this issue owing to their unique ability of efficient encoding information and oblivion feature. At present, the emerging study mainly concentrates on inorganic volatile memristive materials. Herein, a multifunctional volatile memristor based on organic-inorganic hybrid ultrathin thin films has been developed for artificial nociceptor and edge/reservoir computing, which consists of a functional layer of 6 nm thick titanium-based maleic acid (Ti-MA) and 4 nm thick Al<sub>2</sub>O<sub>3</sub> prepared by molecular/atomic layer deposition (MLD/ALD). The ultrathin bilayer memristor of TiN/Ti-MA/Al<sub>2</sub>O<sub>3</sub>/Pt (TTAP) contributes to the precise tuning of the gradient distribution of oxygen vacancies, ensuring excellent reproducibility, endurance, and consistency of the memristor with a lower set/reset energy consumption. The volatility nature of the TTAP device originates from the natural diffusion of oxygen vacancies in the absence of external voltage. A series of important biosynaptic functions have been emulated in a single TTAP device. The multifunctional applications, including biological nociceptor, edge computing and reservoir computing, Pavlovian conditioning, and pattern recognition, are demonstrated in volatile organic-inorganic hybrid devices, showcasing exceptional capacity to process data. This work opens an avenue for MLD/ALD organic-inorganic hybrid volatile memristor applications in brain-inspired neuromorphic computing and artificial intelligence based on the versatility and multifunctionality of the TTAP memristor.

ACS Applied Materials & InterfacesVol. 17(40)
Division of Materials Science and Engineering (AU), Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing University (CN)
Openalex Percentile: Top 74%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.