钙铁石和钙钛矿结构相变和电学研究

提出了一种基于结晶相之间相变的三端铁氧体突触。通过晶体结构和电子结构的证实，证明了钙铁石SrFeO2.5和钙钛矿SrFeO 3- δ之间的结构相变。通过利用可控的多级导电态来制造具有电解质栅极铁氧体膜的突触晶体管，该态源自于许多独特的SrFeO x的缺氧钙钛矿结构的完全相变。这种三端人工突触可模仿重要的突触功能，例如突触可塑性和依赖于尖峰时序的可塑性。由铁氧体突触晶体管组成的神经网络的仿真表明，该系统具有很高的分类精度。A three-terminal ferrite synapse based on phase transitions between crystalline phases is proposed. The structural phase transition between brownmillerite SrFeO2.5 and perovskite SrFeO3−δ is verified via crystal and electronic structure characterizations. A synaptic transistor with an electrolyte-gated ferrite film is fabricated by leveraging tunable multilevel conductive states, which stem from complete phase transitions of oxygen-deficient perovskite structures of various unique SrFeOₓ phases. This three-terminal artificial synapse can emulate key synaptic functions including synaptic plasticity and spike-timing-dependent plasticity (STDP). Simulations of a neural network constructed from these ferrite synaptic transistors demonstrate that the system achieves high classification accuracy.

搜集汇总

背景与挑战

背景概述

该数据集研究了一种基于钙铁石和钙钛矿结构相变的三端铁氧体突触，通过晶体结构和电子结构的证实，展示了其在突触可塑性和神经网络高分类精度方面的应用。数据集包含70.22MB的159个文件，涉及薄膜物理学和凝聚态物理学领域。