Attojoule Hexagonal Boron Nitride‐Based Memristor for High‐Performance Neuromorphic Computing (Small 45/2024)
Source abstract
Abstract
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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · MXene and MAX Phase Materials · 2D Materials and Applications
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Affiliations
Department of Materials Science and Engineering Pohang University of Science and Technology (POSTECH) 77 Cheongam‐ro, Nam‐gu Pohang 37673 Republic of Korea
Center for Van der Waals Quantum Solids Institute for Basic Science (IBS) Pohang 37673 Republic of Korea
Department of Semiconductor Engineering POSTECH Pohang 37673 Republic of Korea
References
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