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421
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421 results for “Polymer”
Mixed Ion–Electron-Conducting Polymer Complexes as High-Rate Battery Binders
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Data from: Charge state-dependent ion condensation near conjugated polymer backbones
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Polymer nanoparticles pass the plant interface
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Converting a metal-coordinating polymer to a polymerized ionic liquid improves Li+ transport
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Data from: Spirobifluorene-based polymers of intrinsic microporosity for the adsorption of methylene blue from wastewater: effect of surfactants
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Dynamics of leaching of POPs and additives from plastic in a Procellariiform gastric model: Diet and polymer dependent effects and implications for long-term exposure
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The effects of microplastics on crop variation depend on polymer types and their interactions with soil nutrient availability and weed competition
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Gold nanochips with molecularly imprinted polymer coating for explosives sensing: Surface-enhanced Raman scattering approach
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Data from: Data-efficient methods for determining Flory–Huggins χ parameters in multicomponent polymer formulations
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Data from: Compatibilization of immiscible polymer blends through pendant ionic interactions
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Data from: Catalytic materials enabled by a programmable assembly of synthetic polymers and bacterial spores
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A Versatile Polymer‐Based Platform for Intracellular Delivery of Macromolecules
<p>The plasma membrane barrier greatly restricts intracellular delivery of macromolecules. Currently available methods suffer from various limitations, including low delivery efficiency, high cytotoxicity, or incompatibility with a wider range of macromolecules or cell types. To overcome these issues, stimuli‐responsive polymers such as the bio‐inspired, pH‐responsive poly(l‐lysine isophthalamide) grafted with l‐phenylalanine at a stoichiometric ratio of 50% (PP50) can be used. In mildly acidic environments, the pseudopeptidic polymer can permeabilize the plasma membrane overcoming the problem of payload entrapment in the endosomes and allowing for efficient intracellular delivery. It is demonstrated that PP50 is capable of intracellular delivery by simple co‐incubation at pH 6.5 with various macromolecules, including different‐sized Dextrans, green fluorescent protein (GFP), and an apoptotic peptide. The delivery process is fast, nontoxic, and compatible with multiple cell types, including adherent and suspension cell lines, primary human mesenchymal stem cells, and cells grown as spheroids. In addition, apoptotic peptide delivery by co‐incubation with PP50 is over three times more effective than delivery using other common methods, including poly(ethyleneimine) (PEI), cell penetrating peptides (CPPs), and electroporation. The findings suggest that payload delivery by co‐incubation with PP50 is a flexible, controllable method allowing delivery of various payloads to many different cell types in vitro.</p>
Binary 2D morphologies of polymer phase separation
<p>This dataset was generated through the simulation of a time evolving Cahn -Hilliard equation, describing phase separation in binary polymer blends. Several realizations of the equation were done through different values of volume fractions and binary interaction parameters. Morphologies were outputted at constant time intervals. Fill factor information for each instance has been provided as well.</p> <p> </p>
Dataset for Cyclopentadithiophene polymers synthesised via Suzuki-Miyaura polymerisation of MIDA boronate esters
<p>NMR and GPC files (raw and processed data) of compounds and experiments described in the Title publication.</p>
Neutron Reflectometry data and code for the manuscript entitled: 'Enrichment of charged monomers explains non-monotonic polymer volume fraction profiles of multi-stimulus responsive copolymer brushes'
<p>Contained in the zip file is the reduced neutron reflectometry data, the code used to analyse the data and jupyter notebooks used implement this code. Data is for proposal number PP4274, experiment number PPR6490 on the Platypus Reflectometer at ANSTO, Australia. The data is name with measurement numbers. The attached excel document describes the condition which corresponds to measurement number. </p>
Data from: Facile fabrication of fluoro-polymer self-assembled ZnO nanoparticles mediated, durable and robust omniphobic surfaces on polyester fabrics
<p>Omniphobic surfaces have been widely used in many applications, especially due to their self-cleaning property. Omniphobicity of a surface is directly interpreted by measuring the contact angle that it makes with a liquid of interest. In this study, polyester fabric was made omniphobic with a measured water contact angle (WCA) of 152° by reducing the surface free energy of the fabric surface via the polymerization of 3,3,4,4,5,5,6,6,7,7,8,8,8-tridecafluorooctyl methacrylate(TDM) on a ZnO seed layer. The fabrics with and without the seed layer were characterized using various analytical techniques. The WCA of the fabric with the seed layer was 153° compared to 142° of the fabric without the seed layer. The treated fabric made a contact angle of 132° with SAE 40 motor oil indicating its oleophobicity while non-treated fabric made no contact angle. In addition to that, the treated fabric is omniphobic against milk tea, coffee, coconut oil, and ethanol. The morphological analysis using scanning electron microscopy (SEM) of the treated and non-treated fabrics revealed that the particle size of the seed layer applied fabric was ranging from 100-300 nm and upon the TDM application it became less than 100 nm. Elemental analysis by EDS showed the presence of fluorine and FT-IR analysis confirmed the polymerization of TDM. The polymerization of fluoropolymer was further confirmed by TGA and DSC analyses. The contact angle of the surface-modified fabric remained unchanged even after 1.5 h washing and 50 cycles of abrasion. The modified fabric is robust and no change was observed in the colour of the fabric during the process. More importantly the preparation method of the fabric is simple, low cost and quick.</p>
Data for paper "Micromechanical modeling of MXene-polymer composites"
<p>Data for paper “Micromechanical modeling of MXene-polymer composites” <a href="https://doi.org/10.1016/j.carbon.2020.02.070">https://doi.org/10.1016/j.carbon.2020.02.070</a></p> <p>M_M_MX_P_C_data.xlsx is the data represented in the paper.</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 777810.</p>
Exploiting Phase Transitions in Polymer Bilayer Actuators
<p>In many biological systems, the process of motion involves mechanically morphing materials, which change their mechanical properties and/or shape in response to a control signal. In the past two decades, significant progress has been made toward mimicking the underlying designs and resulting functions in artificial materials and systems. Polymer‐based bilayer bending actuators, in which the dissimilar thermal expansion of two materials is exploited, represent widely investigated actuation elements, but one limitation of this design approach is that the thermal expansion coefficient of polymers is generally small. Herein, it is shown that this problem is mitigated using a thermoplastic polyurethane elastomer with a crystallizable soft segment. The domains formed by the latter reversibly melt and crystallize in a convenient temperature range (30–60 °C), whereas the hydrogen‐bonded urethane hard segments serve as physical crosslinks that provide mechanical integrity and elastic behavior beyond this temperature. Melting the polyester results in a large nonlinear thermal expansion and thus actuation, in a narrow temperature range. The electrically controlled bilayer actuators are created by combining this material with cellulose acetate and integrating resistive heating electrodes. Optionally these devices are equipped with a thermally controlled supramolecular polymer adhesive “gripper.”</p>
Probabilistic Approach for the Fatigue Strength Prediction of Polymers
<p>The dominating factor in the fatigue of structures made from fiber reinforced polymers (FRP), for example wind turbine blades, is the polymer matrix. Traditionally, experimental stress-life data of polymers is approximated via a linear double-log Basquin model. Recently, the non-linear stress-life formulation by Stüssi was found to provide a better fit of the experimental data with a substantially reduced standard deviation. Moreover, a non-linear constant-life formulation, as proposed by Boerstra, for example, can enhance the representation of the mean stress effect compared to state-of-the-art linear models, i.e., the modified Goodman relation. To this end, we incorporated Stüssi’s model into the Boerstra relation to take account of the mean stress effects of an epoxy. This stress-life formulation was then enhanced with the Weibull probability function. The probabilistic-stress-life model provided a good approximation of the fatigue performance as a function of the stress ratio on the basis of an experimental data set. Finally, we suggested a step-wise engineering approach to derive the permissible stress-life with a view to practical design purposes. The procedure increased the reliability of the fatigue design evaluation compared to the state-of-the-art methodologies.</p> <p>Slides: <a href="https://doi.org/10.5281/zenodo.4443149">https://doi.org/10.5281/zenodo.4443149</a><br> Paper: <a href="https://doi.org/10.2514/6.2021-1289">https://doi.org/10.2514/6.2021-1289</a></p>
Data from: Slip-spring simulations of different constraint release environments for linear polymer chains
The constraint release(CR) mechanism has important effects on polymer relaxation and the chains will show different relaxation behavior in conditions of monodisperse, bidisperse and other topological environments. By comparing relaxation data of linear PI chains dissolved in very long matrix and monodisperse melts, Matsumiya et al. showed that CR mechanism accelerates both dielectric and viscoelastic relaxation[Matsumiya et al., 2013,46, 6067]. In this work, the experimental data reported by Matsumiya et al. are reproduced using the single slip-spring model(SSp) and the CR accelerating effects are validated by simulations. A variant of SSp with each entanglement assigning a characteristic lifetime is also proposed to simulate various CR environment flexibly. Using this lifetime version SSp model, the correct relaxation function can be obtained with equal numbers of entanglements destructions by CR and reptation/Contour length fluctuation(CLF) for monodisperse melts. Good agreement with published experiment data is also obtained for bidisperse melts, which validates the ability to correctly describe the CR environment of the lifetime version model.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.