ArticleThe journal of physical chemistry letters2023
Electrical Charge Coupling Dominates the Hysteresis Effect of Halide Perovskite Devices.
Article in The journal of physical chemistry letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- A Perovskite Memdiode-Based Neuromorphic in Silico Surrogate Model for Emulating Predictive Coding Failure in Diabetic Neuropathy.Neuroinformatics · 2026Article
- Thermotropic liquid-assisted interface management enables efficient and stable perovskite solar cells and modules.Nature communications · 2026Article
- An Exploration of the Role of Acetamidinium Substitution in Methylammonium Lead Iodide Perovskites.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026Article
- Relaxation Time of Multipore Nanofluidic Memristors for Neuromorphic Applications.Journal of the American Chemical Society · 2025Article
- Mapping of Internal Ionic/Electronic Transient Dynamics in Current-Voltage Operation of Perovskite Solar Cells.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Hysteresis in memristors produces conduction inductance and conduction capacitance effects.Physical chemistry chemical physics : PCCP · 2024Article
- Accelerating the Assessment of Hysteresis in Perovskite Solar Cells.ACS energy letters · 2024Article
- Enhanced LED Performance by Ion Migration in Multiple Quantum Well Perovskite.The journal of physical chemistry letters · 2023Article
- Hysteresis in Organic Electrochemical Transistors: Distinction of Capacitive and Inductive Effects.The journal of physical chemistry letters · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hysteresis effects in ionic-electronic devices are a valuable resource for the development of switching memory devices that can be used in information storage and brain-like computation. Halide perovskite devices show frequent hysteresis in current-voltage curves that can be harnessed to build effective memristors. These phenomena can be often described by a set of highly nonlinear differential equations that involve current, voltage, and internal state variables, in the style of the famous Hodgkin-Huxley model that accounts for the initiation and temporal response of action potentials in biological neurons. Here we extend the neuron-style models that lead to chemical inductors by introducing a capacitive coupling in the slow relaxation variable. The extended model is able to explain naturally previous observations concerning the transition from capacitor to inductor in impedance spectroscopy of MAPbBr solar cells and memristors in the dark. The model also generates new types of oscillating systems by the generation of a truly negative capacitance distinct from the usual inductive effect.
Identifiers
What OpenQuestion holds
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.