The inferior electrical contact to two-dimensional(2D)materials is a critical challenge for their application in post-silicon very large-scale integrated circuits.Electrical contacts were generally related to their re...The inferior electrical contact to two-dimensional(2D)materials is a critical challenge for their application in post-silicon very large-scale integrated circuits.Electrical contacts were generally related to their resistive effect,quantified as contact resistance.With a systematic investigation,this work demonstrates a capacitive metal-insulator-semiconductor(MIS)field-effect at the electrical contacts to 2D materials:The field-effect depletes or accumulates charge carriers,redistributes the voltage potential,and gives rise to abnormal current saturation and nonlinearity.On one hand,the current saturation hinders the devices’driving ability,which can be eliminated with carefully engineered contact configurations.On the other hand,by introducing the nonlinearity to monolithic analog artificial neural network circuits,the circuits’perception ability can be significantly enhanced,as evidenced using a coronavirus disease 2019(COVID-19)critical illness prediction model.This work provides a comprehension of the field-effect at the electrical contacts to 2D materials,which is fundamental to the design,simulation,and fabrication of electronics based on 2D materials.展开更多
Hopfield神经网络以良好的联想记忆功能、容错性而得到广泛的应用。然而,云计算平台下,面对海量数据时它并不能在单机上存储高维度模式以及获得良好的性能。另外,传统的联想记忆网络数据分布存储,使得MapReduce结构可以很好地解决并行...Hopfield神经网络以良好的联想记忆功能、容错性而得到广泛的应用。然而,云计算平台下,面对海量数据时它并不能在单机上存储高维度模式以及获得良好的性能。另外,传统的联想记忆网络数据分布存储,使得MapReduce结构可以很好地解决并行化和分布性的问题。根据以上原理,提出一种MRHAM(MapReduce-based Hopfield Network for Association Memory)算法,对传统的Hopfield联想记忆算法采用MapReduce架构实现大规模并行化处理。通过实验验证在大规模数据量下获得比传统Hopfield联想记忆算法更好的性能,对于海量数据的基于内容存储、联想记忆有重要意义。展开更多
基金This work was supported the National Natural Science Foundation of China(No.11804024).
文摘The inferior electrical contact to two-dimensional(2D)materials is a critical challenge for their application in post-silicon very large-scale integrated circuits.Electrical contacts were generally related to their resistive effect,quantified as contact resistance.With a systematic investigation,this work demonstrates a capacitive metal-insulator-semiconductor(MIS)field-effect at the electrical contacts to 2D materials:The field-effect depletes or accumulates charge carriers,redistributes the voltage potential,and gives rise to abnormal current saturation and nonlinearity.On one hand,the current saturation hinders the devices’driving ability,which can be eliminated with carefully engineered contact configurations.On the other hand,by introducing the nonlinearity to monolithic analog artificial neural network circuits,the circuits’perception ability can be significantly enhanced,as evidenced using a coronavirus disease 2019(COVID-19)critical illness prediction model.This work provides a comprehension of the field-effect at the electrical contacts to 2D materials,which is fundamental to the design,simulation,and fabrication of electronics based on 2D materials.
文摘Hopfield神经网络以良好的联想记忆功能、容错性而得到广泛的应用。然而,云计算平台下,面对海量数据时它并不能在单机上存储高维度模式以及获得良好的性能。另外,传统的联想记忆网络数据分布存储,使得MapReduce结构可以很好地解决并行化和分布性的问题。根据以上原理,提出一种MRHAM(MapReduce-based Hopfield Network for Association Memory)算法,对传统的Hopfield联想记忆算法采用MapReduce架构实现大规模并行化处理。通过实验验证在大规模数据量下获得比传统Hopfield联想记忆算法更好的性能,对于海量数据的基于内容存储、联想记忆有重要意义。
