A light-emitting touch-responsive device (LETD) for instantaneous visualization of pressure mapping is reported. The LETD integrates an organometal halide perovskite polymer composite emissive layer and a flexible silver nanowire polyurethane composite transparent electrode. The composite emissive layer contains methylammonium lead bromide nanocrystals uniformly dispersed in a poly(ethylene oxide) (PEO) matrix and emits an intense green luminescence that peaks at 529 nm. The PEO matrix promotes the formation of small perovskite grains (∼20 nm) and a pinhole-free composite film with surface roughness of only 2.96 nm. The composite transparent electrode is separated from the emissive layer with a 100 μm thick spacer. When a local pressure is applied, a Schottky contact is formed instantaneously between the metal and the emissive layer, and electroluminescence is produced at voltages as low as 2.5 V and reaches 1030 cd/m at 6 V. The transparent LETD has approximately 68% transparency. It can be bent to a 6 mm radius when polyethylene terephthalate is used as the substrate. The perovskite LETD has fast response and can be pixelated to offer potential applications in robotics, motion detection, fingerprint devices, and interactive wallpapers.
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http://dx.doi.org/10.1021/acsnano.7b05935 | DOI Listing |
Environ Sci Technol
January 2025
Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
The record-breaking 2019-2020 Australian wildfires have been primarily linked to climate change and its internal variability. However, the meteorological feedback mechanisms affecting smoke dispersion and wildfire emissions on a synoptic scale remain unclear. This study focused on the largest wildfires occurring between December 25, 2019 and January 10, 2020, under the enhanced subtropical high, when the double peak in wildfire evolution was favored by sustained low humidity and two synchronous increases in temperature and wind.
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December 2024
Korea University, Sejong, Sejong, Korea, Republic of (South).
Background: Amyloid-β accumulation is a pivotal factor in Alzheimer's disease (AD) progression. As treatment for AD has not been successful yet, the most effective approach lies in early diagnosis and the subsequent delay of disease progression. Hence, this study introduces a deep learning model to predict amyloid-β accumulation in the brain.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom.
Background: Frontotemporal dementia (FTD) and Progressive Supranuclear Palsy (PSP) have distinct molecular pathologies, with Tau and TDP43 aggregation, and distinct patterns of regional brain atrophy. However, they share the synaptotoxicity of protein aggregation, and neurotransmitter loss (including GABA), which contribute to clinical and neurophysiological similarities. Defining the relationships between synaptic loss, network physiology and cognition builds bridges between preclinical and clinical studies, and facilitates early phase trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The UC Irvine Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, CA, USA.
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View Article and Find Full Text PDFPhys Rev Lett
December 2024
Sandia National Laboratories, PO Box 5800, Albuquerque, New Mexico 87185, USA.
Magnetic insulation of electrons prevents losses and can be applied to generating radiation or electron sources for high current and high power applications. Ion emission from the anode may degrade magnetic insulation. We develop equilibrium theory, self-consistently coupling magnetically insulated electron flow with free-flowing injected ions.
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