134 research outputs found
Nano-Ceramic Coated Plastics
Plastic products, due to their durability, safety, and low manufacturing cost, are now rapidly replacing cookware items traditionally made of glass and ceramics. Despite this trend, some still prefer relatively expensive and more fragile ceramic/glassware because plastics can deteriorate over time after exposure to foods, which can generate odors, bad appearance, and/or color change. Nano-ceramic coatings can eliminate these drawbacks while still retaining the advantages of the plastic, since the coating only alters the surface of the plastic. The surface coating adds functionality to the plastics such as self-cleaning and disinfectant capabilities that result from a photocatalytic effect of certain ceramic systems. These ceramic coatings can also provide non-stick surfaces and higher temperature capabilities for the base plastics without resorting to ceramic or glass materials. Titanium dioxide (TiO2) and zinc oxide (ZnO) are the candidates for a nano-ceramic coating to deposit on the plastics or plastic films used in cookware and kitchenware. Both are wide-bandgap semiconductors (3.0 to 3.2 eV for TiO2 and 3.2 to 3.3 eV for ZnO), so they exhibit a photocatalytic property under ultraviolet (UV) light. This will lead to decomposition of organic compounds. Decomposed products can be easily washed off by water, so the use of detergents will be minimal. High-crystalline film with large surface area for the reaction is essential to guarantee good photocatalytic performance of these oxides. Low-temperature processing (<100 C) is also a key to generating these ceramic coatings on the plastics. One possible way of processing nanoceramic coatings at low temperatures (< 90 C) is to take advantage of in-situ precipitated nanoparticles and nanostructures grown from aqueous solution. These nanostructures can be tailored to ceramic film formation and the subsequent microstructure development. In addition, the process provides environment- friendly processing because of the aqueous solution. Low-temperature processing has also shown versatility to generate various nanostructures. The growth of low-dimensional nanostructures (0-D, 1-D) provides a means of enhancing the crystallinity of the solution-prepared films that is of importance for photocatalytic performance. This technology can generate durable, fully functional nano-ceramic coatings (TiO2, ZnO) on plastic materials (silicone, Teflon, PET, etc.) that can possess both photocatalytic oxide properties and flexible plastic properties. Processing cost is low and it does not require any expensive equipment investment. Processing can be scalable to current manufacturing infrastructure
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint
Fair Principal Component Analysis (PCA) is a problem setting where we aim to
perform PCA while making the resulting representation fair in that the
projected distributions, conditional on the sensitive attributes, match one
another. However, existing approaches to fair PCA have two main problems:
theoretically, there has been no statistical foundation of fair PCA in terms of
learnability; practically, limited memory prevents us from using existing
approaches, as they explicitly rely on full access to the entire data. On the
theoretical side, we rigorously formulate fair PCA using a new notion called
\emph{probably approximately fair and optimal} (PAFO) learnability. On the
practical side, motivated by recent advances in streaming algorithms for
addressing memory limitation, we propose a new setting called \emph{fair
streaming PCA} along with a memory-efficient algorithm, fair noisy power method
(FNPM). We then provide its {\it statistical} guarantee in terms of
PAFO-learnability, which is the first of its kind in fair PCA literature.
Lastly, we verify the efficacy and memory efficiency of our algorithm on
real-world datasets.Comment: 42 pages, 5 figures, 4 tables. Accepted to the 37th Conference on
Neural Information Processing Systems (NeurIPS 2023
PROTECTION FROM OXYGEN AND MOISTURE VIA THIN OXIDE BARRIER COATING FOR ORGANIC ELECTRONICS
ABSTRACT Protection from oxygen and moisture is crucial for organic light emitting diodes (OLED) used in flexible display applications. The surface coating is an effective way to protect the enclosed functional materials and organic substrates in order to ensure their device functionality. Parylene films, which can be vapor deposited at room temperature, are known as a superior conformal polymeric material. In fact, a few attempts have shown that the parylene can be a good barrier coating for the OLED devices. This polymer film cannot, however, provide a long-term reliability due to nature of the polymer degradation in the presence of oxygen and moisture. In order to compensate such a drawback, we have explored the 'biomimetic' solution processing to deposit the oxide films on the organic substrate. Oxide films can provide a better protection and more robust surface. In this study, polyethylene terephthalate (PET) commonly used for an organic substrate, is deposited with the TiO 2 films with or without the parylene underlying layer. Importantly, the oxide coating is processed at very low temperatures (< 60ËšC) in aqueous solution, so the process can avoid premature failure due to high-temperature processes, and is applicable to organic structures, cheap and environmentfriendly. In addition, hermeticity tests are devised to measure the moisture and oxygen permeation. Interfacial structure and mechanical properties of the resultant coatings are tested via scanning electron microscope (SEM), atomic force microscope (AFM), optical microscope (OM) and nanoindentation
MAIR: Multi-view Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation
We propose a scene-level inverse rendering framework that uses multi-view
images to decompose the scene into geometry, a SVBRDF, and 3D spatially-varying
lighting. Because multi-view images provide a variety of information about the
scene, multi-view images in object-level inverse rendering have been taken for
granted. However, owing to the absence of multi-view HDR synthetic dataset,
scene-level inverse rendering has mainly been studied using single-view image.
We were able to successfully perform scene-level inverse rendering using
multi-view images by expanding OpenRooms dataset and designing efficient
pipelines to handle multi-view images, and splitting spatially-varying
lighting. Our experiments show that the proposed method not only achieves
better performance than single-view-based methods, but also achieves robust
performance on unseen real-world scene. Also, our sophisticated 3D
spatially-varying lighting volume allows for photorealistic object insertion in
any 3D location.Comment: Accepted by CVPR 2023; Project Page is
https://bring728.github.io/mair.project
Recent Advances on Metal Oxide Based Nano-Photocatalysts as Potential Antibacterial and Antiviral Agents
Photocatalysis, a unique process that occurs in the presence of light radiation, can potentially be utilized to control environmental pollution, and improve the health of society. Photocatalytic removal, or disinfection, of chemical and biological species has been known for decades; however, its extension to indoor environments in public places has always been challenging. Many efforts have been made in this direction in the last two–three years since the COVID-19 pandemic started. Furthermore, the development of efficient photocatalytic nanomaterials through modifications to improve their photoactivity under ambient conditions for fighting with such a pandemic situation is a high research priority. In recent years, several metal oxides-based nano-photocatalysts have been designed to work efficiently in outdoor and indoor environments for the photocatalytic disinfection of biological species. The present review briefly discusses the advances made in the last two to three years for photocatalytic viral and bacterial disinfections. Moreover, emphasis has been given to the tailoring of such nano-photocatalysts in disinfecting surfaces, air, and water to stop viral/bacterial infection in the indoor environment. The role of such nano-photocatalysts in the photocatalytic disinfection of COVID-19 has also been highlighted with their future applicability in controlling such pandemics
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