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HfO-based ferroelectric (FE) thin films have gained considerable interest for memory applications due to their excellent properties. However, HfO-based FE films face significant reliability challenges, especially the wake-up and fatigue effects, which hinder their practical application. In this work, we fabricated 13.5 nm-thick Al-doped HfZrO(HZO) films with both uniform (UD) and optimized (OD) Al distributions, systematically investigating the effects of Al doping distribution on their FE and endurance performances. After optimizing the Al distribution, the OD samples exhibit significantly enhanced ferroelectricity, with a robust remnant polarization (2) of 53.7C cm. Besides, compared to the undoped and UD HZO films, the OD samples exhibit enhanced dielectric performance, with lower leakage currents and higher breakdown voltages, suggesting that the optimized distribution suppresses oxygen vacancy generation and mitigates defect formation. Furthermore, the OD samples maintain a large 2of 40.4C cmafter 10which can be rejuvenated back to 50.7C cmby higher voltage cycling. The enhanced dielectric performances and reversible phase transitions during cycling underline the potential of Al-doped HZO films with optimized distribution as reliable, long-endurance FE materials, advancing the development of HfO-based FE devices for future memory applications.
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http://dx.doi.org/10.1088/1361-6528/adaf2c | DOI Listing |
mBio
September 2025
Corner Therapeutics, Watertown, Massachusetts, USA.
Unlabelled: Dendritic cells (DCs) are the primary inducers of immunity induced by infection or vaccination. To stimulate durable T cell-mediated immunity, multiple DC activities are required. DCs must present antigen, express costimulatory molecules, and secrete inflammatory cytokines to direct T cell activation.
View Article and Find Full Text PDFJ Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
View Article and Find Full Text PDFMedComm (2020)
September 2025
Alzheimer's disease (AD) is one of the leading causes of dementia in the elderly, and no effective treatment is currently available. Cathepsin B (CTSB) is involved in key pathological processes of AD, but the underlying mechanisms and its relevance to AD diagnosis and treatment remain unclear. In the present study, we found that CTSB expression was abnormally elevated in the hippocampus of 3×Tg mice and was regulated by miR-96-5p.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
NeuroHeuristic Research Group, University of Lausanne, UNIL Chamberonne Internef 138.1, 1015 Lausanne, VD Switzerland.
This paper introduces the concept of -a novel transdisciplinary paradigm designed to advance cognitive neurodynamics by integrating insights from molecular biology, computing, behavioral science, and clinical neuroscience. Contrasted with the traditional reductionist approach rooted in classical determinism, neuroheuristics emphasizes a flexible, problem-solving methodology for investigating brain function across multiple levels of complexity. The paper explores the epistemological interplay among genetic, epigenetic, and environmental factors in brain development and pathology.
View Article and Find Full Text PDFFront Plant Sci
August 2025
College of Engineering, South China Agricultural University, Guangdong, China.
Reliable detection and spatial localization of banana bunches are essential prerequisites for the development of autonomous harvesting technologies. Current methods face challenges in achieving high detection accuracy and efficient deployment due to their structural complexity and significant computational demands. This study proposes YOLO-BRFB, a lightweight and precise system designed for detection and 3D localization of bananas in orchard environments.
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