ArticleNature communications2025
Scalable transition metal dichalcogenide memtransistor arrays with Schottky-barrier control for energy-efficient artificial neural networks.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Memtransistors that integrate memristor and transistor functionalities are promising candidates for scalable, energy-efficient neuromorphic computing. However, achieving high performance in memtransistor arrays-particularly in terms of resistive switching ratio, uniformity, and scalability-remains a significant challenge for practical deployment in artificial neural networks. Here, we present scalable memtransistor arrays based on transition metal dichalcogenides (TMDCs), where the Schottky barrier is precisely controlled by modulating vacancy distribution and migration behavior. This approach enables a substantial improvement in the resistive switching ratio, reaching 10
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