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Wafer‑Scale Ag_(2)S‑Based Memristive Crossbar Arrays with Ultra‑Low Switching‑Energies Reaching Biological Synapses

Nano-Micro Letters 2025年第3期17卷 328-339页

作者： Yuan Zhu Tomas Nyberg leif nyholm Daniel Primetzhofer Xun Shi Zhen Zhang Division of Solid‑State Electronics Department of Electrical EngineeringUppsala University75121 UppsalaSweden Department of Chemistry Uppsala UniversityUppsalaSweden Department of Physics and Astronomy Uppsala UniversityUppsalaSweden State Key Laboratory of High Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai 200050People’s Republic of China

Memristive crossbar arrays(MCAs)offer parallel data storage and processing for energy-efficient neuromorphic ***,most wafer-scale MCAs that are compatible with complementary metal-oxide-semiconductor(CMOS)technology still suffer from substantially larger energy consumption than biological synapses,due to the slow kinetics of forming conductive paths inside the memristive *** we report wafer-scale Ag_(2)S-based MCAs realized using CMOS-compatible processes at temperatures below 160℃.Ag_(2)S electrolytes supply highly mobile Ag+ions,and provide the Ag/Ag_(2)S interface with low silver nucleation barrier to form silver filaments at low energy *** further enhancing Ag+migration in Ag_(2)S electrolytes via microstructure modulation,the integrated memristors exhibit a record low threshold of approximately−0.1 V,and demonstrate ultra-low switching-energies reaching femtojoule values as observed in biological *** low-temperature process also enables MCA integration on polyimide substrates for applications in flexible ***,the intrinsic nonidealities of the memristive units for deep learning can be compensated by employing an advanced training *** impressive accuracy of 92.6%in image recognition simulations is demonstrated with the MCAs after the *** demonstrated MCAs provide a promising device option for neuromorphic computing with ultra-high energy-efficiency.

关键词： Wafer-scale Ag_(2)S films Reactive sputter Silver nucleation Ag^(+)migration Energy-efficient neuromorphic computing

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Polydopamine-based redox-active separators for lithium-ion batteries

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Journal of Materiomics 2019年第2期5卷 204-213页

作者： Ruijun Pan Zhaohui Wang Rui Sun Jonas Lindh Kristina Edstrom Maria Strømme leif nyholm Department of Chemistry-Ångstr€om Laboratory Uppsala UniversityBox 538SE-75121UppsalaSweden Nanotechnology and Functional Materials Department of Engineering SciencesTheÅngstr€om LaboratoryUppsala UniversityBox 534SE-75121UppsalaSweden

The performance of lithium-ion batteries(LIBs)can be effectively enhanced with functionalized ***,it is demonstrated that polydopamine-based redox-active(PRA)separators can provide additional capacity to that of typical anode materials,increase the volumetric capacity of the cell,as well as,decrease the cell resistance to yield an improved performance at higher cycling *** PRA separators,which are composed of a 2 mm thick electrically insulating nanocellulose fiber(NCF)layer and an 18 mm thick polydopamine(PDA)and carbon nanotube(CNT)containing redox-active layer,are readily produced using a facile paper-making *** PRA separators are also easily wettable by commonly employed electrolytes(***40)and exhibit a high dimensional *** addition,the pore structure endows the PRA separator with a high ionic conductivity(i.e.1.06 mS cm^(-1))that increases the rate performance of the *** to the presence of the redox-active layer,Li_(4)Ti_(5)O_(12)(LTO)half-cells containing PRA separator were found to exhibit significantly higher capacities than the corresponding cells containing commercial *** results clearly show that the implementation of this type of redox-active separators constitutes a straightforward and effective way to increase the energy and power densities of LIBs.

关键词： Lithium-ion battery Separator Cellulose Polydopamine Redox-active

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