ArticleScience advances2020
Design of defect-chemical properties and device performance in memristive systems.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Toward Intelligent Sensing Systems: Non-Equilibrium Materials as Platforms for AI-Enabled Autonomous Discovery.Sensors (Basel, Switzerland) · 2026Article
- Residual Stresses and Micro-voids Propel Metal Diffusion for Filament-Based Memristors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The Role of Hydrogen in ReRAM.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- Redox-based ion-gating reservoir consisting of (104) oriented LiCoOScientific reports · 2023Article
- Self-aligned patterning of tantalum oxide on Cu/SiONature communications · 2023Article
- Experimental and Modeling Study of Metal-Insulator Interfaces to Control the Electronic Transport in Single Nanowire Memristive Devices.ACS applied materials & interfaces · 2022Article
- Organismic Memristive Structures With Variable Functionality for Neuroelectronics.Frontiers in neuroscience · 2022Article
- Technology agnostic frequency characterization methodology for memristors.Scientific reports · 2021Article
- Memristor-based biomimetic compound eye for real-time collision detection.Nature communications · 2021Article
- The electric double layer effect and its strong suppression at LiCommunications chemistry · 2021Article
- Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence.Science and technology of advanced materials · 2021Article
- Enhancing Reliability of Studies on Single Filament Memristive Switching via an Unconventional cAFM Approach.Nanomaterials (Basel, Switzerland) · 2021Article
- Self-Powered Memristive Systems for Storage and Neuromorphic Computing.Frontiers in neuroscience · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Future development of the modern nanoelectronics and its flagships internet of things, artificial intelligence, and neuromorphic computing is largely associated with memristive elements, offering a spectrum of inevitable functionalities, atomic level scalability, and low-power operation. However, their development is limited by significant variability and still phenomenologically orientated materials' design strategy. Here, we highlight the vital importance of materials' purity, demonstrating that even parts-per-million foreign elements substantially change performance. Appropriate choice of chemistry and amount of doping element selectively enhances the desired functionality. Dopant/impurity-dependent structure and charge/potential distribution in the space-charge layers and cell capacitance determine the device kinetics and functions. The relation between chemical composition/purity and switching/neuromorphic performance is experimentally evidenced, providing directions for a rational design of future memristive devices.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.