HAL (France)
open access
Interface Barrier-Modulated Neuromorphic Behavior in Mo/CdIn2S4/ZnO–Al Structures Based on Metastable Defects
Neuromorphic computing is an increasingly accelerating research field that still faces several hardware challenges, thus driving materials science research. This contribution presents prototype neuromorphic devices based on cadmium-indium sulfide (CdIn2S4). We have found that the compound, previousl
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Wafer-Scale Monolayer MoS2 with Tunable Grain Size via Grain Boundary Engineering for Neuromorphic Computing#202842
- Oxide interface-based polymorphic electronic devices for neuromorphic computing.#3922
- Mechanically Durable Intrinsically Stretchable Neuromorphic Devices via Molecular Microstructure Design.#396092
- Neuromorphic Devices and Computing for Sensing, Memory, and Control.#455491
- Array of Cointegrated Transistor-Based Artificial Neurons and Synapses for Neuromorphic Computing.#671112
Record · ID 1219375
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive