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Shilpa Chauhan

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Hysteresis Transformation and Memristor Design Framework for Two-Dimensional Materials for Neuromorphic Computing:Physics-Based Charge-Diffusion Modelling and Machine Learning

Abstract Hysteresis is the defining electrical signature of memristive dynamics and underpins the history-dependent conductance required for artificial synapses and neuromorphic computing. However, unlike conventional passive electronic components, memristive devices lack a universally accepted framework for quantitati...

Shilpa Chauhan, Davinder Kaur, Ankush Kumar · 0 citations

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