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Peng Lin

Researcher at University of Massachusetts Amherst

Publications -  55
Citations -  6885

Peng Lin is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Memristor & Neuromorphic engineering. The author has an hindex of 24, co-authored 48 publications receiving 4258 citations. Previous affiliations of Peng Lin include Zhejiang University & Massachusetts Institute of Technology.

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Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing

TL;DR: The diffusive Ag-in-oxide memristor and its dynamics enable a direct emulation of both short- and long-term plasticity of biological synapses, representing an advance in hardware implementation of neuromorphic functionalities.
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Analogue signal and image processing with large memristor crossbars

TL;DR: It is shown that reconfigurable memristor crossbars composed of hafnium oxide memristors on top of metal-oxide-semiconductor transistors are capable of analogue vector-matrix multiplication with array sizes of up to 128 × 64 cells.
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Fully memristive neural networks for pattern classification with unsupervised learning

TL;DR: It is shown that a diffusive memristor based on silver nanoparticles in a dielectric film can be used to create an artificial neuron with stochastic leaky integrate-and-fire dynamics and tunable integration time, which is determined by silver migration alone or its interaction with circuit capacitance.
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Anatomy of Ag/Hafnia-Based Selectors with 10 10 Nonlinearity

TL;DR: High-resolution transmission electron microscopic analysis of the nanoscale crosspoint device suggests that elongation of an Ag nanoparticle under voltage bias followed by spontaneous reformation of a more spherical shape after power off is responsible for the observed threshold switching.