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4篇 您的检索式：作者名="M.Shen"

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		题名	作者	年代	出处	被引量
	1	Z-source inverter for motor drives显示文摘	F.Z.Peng A.Joseph J.Wang M.Shen		0，，04：	1
	2	Application of Z-source inverter for traction drive of fuel cell-Battery hybrid electric vehicles显示文摘	F.Z.Peng M.Shen K.Holland		0，，03：	1
	3	Monolayer MoS_(2)synaptic devices synergistically modulated by Na^(+)ions and sulfur vacancies for neuromorphic computing and pain perception stimulation显示文摘Ion based synaptic devices(ISDs)are one of the excellent candidates for neuromorphic computing.However,most of ISDs utilized additional ion sources to supply ions for adjusting the conductance of the device channel,which might hinder the large-scale integration for fabricating hierarchical artificial neural network.Here a high-performance monolayer MoS_(2) ISD is demonstrated using Na^(+)ions doped in MoS_(2) lattice as ion sources.Benefited from the Na^(+)ions and S vacancy defects in the MoS_(2) lattice,the device not only exhibits various synaptic plasticity(long-and short-term plasticity)and typical biological features(pain-perceptual nociceptors and associative learning),but also has a low synaptic event response voltage(100 mV)and a low energy consumption(0.92 pJ)for a synaptic event.A dissociation-adsorptionmigration-binding model is proposed to elaborate the resistance switching mechanism,which is corroborated by density functional theory calculations and characterizations.In addition,an artificial neural network(ANN)based on MoS_(2) ISDs is simulated for the recognition of the MNIST handwritten digits.The deviation of the recognition accuracy is less than 8%compared to the ideal floating-point numeric precision.These results provide a new strategy for fabricating high-performance ISDs for neuromorphic computing.	Y.B.Liu D.Cai T.C.Zhao M.Shen X.Zhou Z.H.Zhang X.W.Meng D.E.Gu	2023	Journal of Materials Science & Technology2023，，32：	0
	4	Computational synthesis of substrates by crystal cleavage显示文摘The discovery of substrate materials has been dominated by trial and error,opening the opportunity for a systematic search.We generate bonding networks for materials from the Materials Project and systematically break up to three bonds in the networks for three-dimensional crystals.Successful cleavage reduces the bonding network to two periodic dimensions.We identify 4693 symmetrically unique cleavage surfaces across 2133 bulk crystals,4626 of which have a maximum Miller index of one.We characterize the likelihood of cleavage by creating monolayers of these surfaces and calculating their thermodynamic stability using density functional theory to discover 3991 potential substrates.Following,we identify distinct trends in the work of cleavage and relate them to bonding in the three-dimensional precursor.We illustrate the potential impact of the substrate database by identifying several improved epitaxial substrates for the transparent conductor BaSnO3.The open-source databases of predicted and commercial substrates are available at MaterialsWeb.org.	Joshua T.Paul Alice Galdi Christopher Parzyck Kyle M.Shen Jared Maxson Richard G.Hennig	2021	npj Computational Materials2021，，1：	0

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