4.8 Article

An Atomistic Model of Field-Induced Resistive Switching in Valence Change Memory

期刊

ACS NANO
卷 17, 期 9, 页码 8281-8292

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.2c12575

关键词

valence change memory; RRAM; resistive switching devices; memristor; kinetic Monte Carlo; quantum transport

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In valence change memory (VCM) cells, the conductance of an insulating switching layer is modulated by creating and redistributing point defects. However, accurately simulating the switching dynamics of these devices is challenging due to their disordered atomic structures. To address this, researchers have developed an atomistic framework combining stochastic kinetic Monte Carlo and quantum transport schemes. This model allows for a direct understanding of the energy landscape and electronic structure of the device, enabling simulations of field-induced switching and analysis of conductance transitions.
In valence change memory (VCM) cells, the conductance of an insulating switching layer is reversibly modulated by creating and redistributing point defects under an external field. Accurately simulating the switching dynamics of these devices can be difficult due to their typically disordered atomic structures and inhomogeneous arrangements of defects. To address this, we introduce an atomistic framework for modeling VCM cells. It combines a stochastic kinetic Monte Carlo approach for atomic rearrangement with a quantum transport scheme, both parametrized at the ab initio level by using inputs from density functional theory. Each of these steps operates directly on the underly i n g atomic structure. The model thus directly relates the energy landscape and electronic structure of the device to its switching characteristics. We apply this model to simulate field-induced nonvolatile switching between high-and low-resistance states in a TiN/HfO2/Ti/TiN stack and analyze both the kinetics and stochasticity of the conductance transitions. We also resolve the atomic nature of current flow resulting from the valence change mechanism, finding that conductive paths are formed between the undercoordinated Hf atoms neighboring oxygen vacancies. The model developed here can be applied to different material systems to evaluate their resistive switching potential, both for use as conventional memory cells and as neuromorphic computing primitives.

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