Oxide-based resistive memory systems have high near-term promise for use in nonvolatile memory. Here we introduce a memory system employing a three-dimensional (3D) networked nanoporous (NP) Ta2O5-x structure and graphene for ultrahigh density storage. The devices exhibit a self-embedded highly nonlinear I-V switching behavior with an extremely low leakage current (on the order of pA) and good endurance. Calculations indicated that this memory architecture could be scaled up to a ∼162 Gbit crossbar array without the need for selectors or diodes normally used in crossbar arrays. In addition, we demonstrate that the voltage point for a minimum current is systematically controlled by the applied set voltage, thereby offering a broad range of switching characteristics. The potential switching mechanism is suggested based upon the transformation from Schottky to Ohmic-like contacts, and vice versa, depending on the movement of oxygen vacancies at the interfaces induced by the voltage polarity, and the formation of oxygen ions in the pores by the electric field.
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http://dx.doi.org/10.1021/acs.nanolett.5b02190 | DOI Listing |
Appl Radiat Isot
January 2025
School of Physics and Electronic Engineering, Sichuan University of Science and Engineering, Yibin, 644005, China.
The three-dimensional radiation field is an important database reflecting the radioactivity distribution in a nuclear facility. It is of great significance to accurately and quickly grasp the radiation dose field distribution to implement radiation protection. Presently, majority of radiation field reconstruction algorithms concentrate on two-dimensional reconstruction and can only measure on a regular grid.
View Article and Find Full Text PDFBiofabrication
January 2025
Mechanical Engineering, National Institute of Technology Meghalaya, Shillong, Shillong, Meghalaya, 793003, INDIA.
The process of micromachining has garnered attention for its ability to create three-dimensional tiny features, particularly in ultra-hard and exotic materials. The present work investigates the effect of different parameters of the µ-ED milling, such as pulse on time (Ton), pulse off time (Toff), voltage (V), and tool rotation (TR) on the dimensional deviation (DD), material removal rate (MRR), surface roughness (Ra), and machined surface characteristics (analysed by EDS and FESEM). The sesame oil as dielectric and tungsten-copper as tool electrodes were used to maintain the accuracy and improve the machinability of bio-grade Nitinol SMA.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Nanjing Institute of Technology, Nanjing 211167, China.
Cocombustion with biomass tar is a potential method for NO reduction during fossil fuel combustion. In this work, the molecular dynamic method based on the reactive force field was used to study the NO reduction by phenol, which is a typical tar model compound. Results indicate that phenol undergoes significant decomposition at 3000 K, resulting in the formation of small molecular fragments accompanied by the generation of large molecular, network-structured soot particles.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Theory and Simulation of Complex Systems, Institute of Physical Chemistry, Heinrich-Heine Universität, Universitätsstr. 1, 40225 Düsseldorf, Germany.
Understanding and analyzing large-scale reaction networks is a fundamental challenge due to their complexity and size, often beyond human comprehension. In this paper, we introduce AUTOGRAPH, the first web-based tool designed for the interactive three-dimensional (3D) visualization and construction of reaction networks. AUTOGRAPH emphasizes ease of use, allowing users to intuitively build, modify, and explore individual reaction networks in real time.
View Article and Find Full Text PDFLangmuir
January 2025
Henan Province Engineering Technology Research Center of MEMS Manufacturing and Applications, School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China.
The rapid development of wearable technology, flexible electronics, and human-machine interaction has brought about revolutionary changes to the fields of motion analysis and physiological monitoring. Sensors for detecting human motion and physiological signals have become a hot topic of current research. Inspired by the muscle fiber structure, this paper proposed a highly stable strain sensor that was composed of stretchable Spandex fibers (SPF), multiwalled carbon nanotubes (MWCNTs), and silicone rubber (Ecoflex).
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