This research demonstrates, for the first time, the development of highly uniform resistive switching devices with self-compliance current for conductive bridge random access memory using two-dimensional electron gas (2DEG) at the interface of an AlO/TiO thin-film heterostructure via atomic layer deposition (ALD). The cell is composed of Cu/Ti/AlO/TiO, where Cu/Ti and AlO overlayers are used as the active/buffer metals and solid electrolyte, respectively, and the 2DEG at the interface of AlO/TiO heterostructure, grown by the ALD process, is adopted as a bottom electrode. The Cu/Ti/AlO/TiO device shows reliable resistive switching characteristics with excellent uniformity under a repetitive voltage sweep (direct current sweep). Furthermore, it exhibits a cycle endurance over 10 cycles under short pulse switching. Remarkably, a reliable operation of multilevel data writing is realized up to 10 cycles. The data retention time is longer than 10 s at 85 °C. The uniform resistance switching characteristics are achieved via the formation of small (∼a few nm width) Cu filament with a short tunnel gap (<0.5 nm) owing to the 2DEG at the AlO/TiO interface. The performance and operation scheme of this device may be appropriate in neuromorphic applications.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acsami.9b08941 | DOI Listing |
Eur J Clin Microbiol Infect Dis
January 2025
Laboratory of Medical Microbiology, Ghent University Hospital, Ghent, Belgium.
Purpose: Mortality and morbidity of patients with bloodstream infection (BSI) remain high despite advances in diagnostic methods and efforts to speed up reporting. This study investigated the impact of reporting rapid Minimum Inhibitory Concentration (MIC)-results in Gram negative BSIs with the ASTar system (Q-linea, Uppsala, Sweden) on the adaptation of empirically started antimicrobial therapy. We performed a real-world study during which antimicrobial susceptibility testing (AST) results were instantly reported to the treating physician in an established multidisciplinary antimicrobial stewardship setting.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Research School of Chemical and Biomedical Technologies, Tomsk Polytechnic University, Lenin Ave. 30, 634050 Tomsk, Russia.
Laser reduction of graphene oxide (GO) is a promising approach for achieving flexible, robust, and electrically conductive graphene/polymer composites. Resulting composite materials show significant technological potential for energy storage, sensing, and bioelectronics. However, in the case of insulating polymers, the properties of electrodes show severely limited performance.
View Article and Find Full Text PDFPathogens
January 2025
Elizabeth Glaser Pediatric AIDS Foundation, Washington, DC 20005, USA.
Real-world data on HIV drug resistance (HIVDR) after transitioning to tenofovir disoproxil fumarate/lamivudine/dolutegravir (TLD) are limited. We assessed HIVDR rates and patterns in clients with virological failure (VF) after switching from an NNRTI-based regimen to TLD. A cross-sectional study was conducted in Gaza, Mozambique (August 2021-February 2022), including adults on first-line ART for ≥12 months who transitioned to TLD and had unsuppressed viral load (VL) ≥ 1000 copies/mL six months post-transition.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Rosselló 149, 08036 Barcelona, Spain.
The treatment landscape for advanced melanoma has transformed significantly with the advent of BRAF and MEK inhibitors (BRAF/MEKi) targeting V600 mutations, as well as immune checkpoint inhibitors (ICI) like anti-PD-1 monotherapy or its combinations with anti-CTLA-4 or anti-LAG-3. Despite that, many patients still do not benefit from these treatments at all or develop resistance mechanisms. Therefore, prognostic and predictive biomarkers are needed to identify patients who should switch or escalate their treatment strategies or initiate an intensive follow-up.
View Article and Find Full Text PDFMicromachines (Basel)
December 2024
Beijing Institute of Smart Energy, Beijing 102209, China.
The SiC MOSFET with an integrated SBD (SBD-MOSFET) exhibits excellent performance in power electronics. However, the static and dynamic characteristics of this device are influenced by a multitude of parameters, and traditional TCAD simulation methods are often characterized by their complexity. Due to the increasing research on neural networks in recent years, such as the application of neural networks to the prediction of GaN JBS and Finfet devices, this paper considers the application of neural networks to the performance prediction of SiC MOSFET devices with an integrated SBD.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!