# RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design

> Research article (Proceedings of the Great Lakes Symposium on VLSI 2023, 2023) · cited 16× · AI/ML

**Wikidata**: [openalex:W4378801076](https://www.wikidata.org/wiki/openalex:W4378801076)  
**Source**: https://4ort.xyz/entity/rfam-reset-failure-aware-model-for-hfo2-based-memristor-to-enhance-the-reliability-of-neuromorphic-design