Attojoule Hexagonal Boron Nitride‐Based Memristor for High‐Performance Neuromorphic Computing (Small 45/2024)
Neuromorphic Computing In article number 2403737, Jong Kyu Kim and co-workers present a two-dimensional hexagonal boron nitride based memristor with a metal-insulator-semiconductor configuration, specifically designed for energy-efficient neuromorphic applications operating at attojoule levels. This breakthrough has the potential to revolutionize energy usage in neuromorphic systems, bridging the gap in energy efficiency between artificial and biological synapses.
Authors
- Si‐Young Choi (ORCID: https://orcid.org/0000-0003-1648-142X)
- Jong Kyu Kim (ORCID: https://orcid.org/0000-0003-1643-384X)
- Jiye Kim
- Jaesub Song
- Seokho Moon (ORCID: https://orcid.org/0000-0001-5585-5848)
- Changwon Choi (ORCID: https://orcid.org/0000-0003-3620-7460)
- Kyungmi Noh
- Inyong Hwang
- Seyoung Kim (ORCID: https://orcid.org/0000-0002-0408-1165)
- Hokyeong Jeong
- Hyeonwoong Hwang
- Hyunjoung Kwak
Institutions
- Pohang University of Science and Technology (KR)
- Institute for Basic Science (KR)
Publication Details
- Journal
- Small
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1002/smll.202470328
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.21