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37 results for “metamaterial”
[Dataset] Lattice Metamaterials with Mesoscale Motifs: Exploration of Property Charts by Bayesian Optimisation
<p>[Dataset] Lattice Metamaterials with Mesoscale Motifs: Exploration of Property Charts by Bayesian Optimisation</p> <p>Roman Kulagin*, Patrick Reiser, Kyryl Truskovskyi, Arnd Koeppe, Yan Beygelzimer, Yuri Estrin, Pascal Friederich, Peter Gumbsch</p> <p>[*] Dr. R. Kulagin, Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany. E-Mail: roman.kulagin@kit.edu</p> <p>Dr. Patrick Reiser, Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Engler-Bunte-Ring 8, 76131 Karlsruhe, Germany.</p> <p>Kyryl Truskovskyi, Georgian, Toronto, Canada</p> <p>Dr. Arnd Koeppe, Institute for Applied Materials (IAM-MMS), Karlsruhe Institute of Technology, Straße am Forum 7, 76131 Karlsruhe, Germany.</p> <p>Prof. Pascal Friederich, Institute of Nanotechnology, Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany; Institute of Theoretical Informatics, Karlsruhe Institute of Technology, Engler-Bunte-Ring 8, 76131 Karlsruhe, Germany.</p> <p>Prof. Y. Beygelzimer, Donetsk Institute for Physics and Engineering named after A.A. Galkin, National Academy of Sciences of Ukraine, Nauki ave., 46, 03028 Kyiv, Ukraine.</p> <p>Prof. Y. Estrin, Department of Materials Science and Engineering, Monash University, 22 Alliance Lane, Clayton 3800, Australia; Department of Mechanical Engineering, The University of Western Australia, Crawley 6009, Australia.</p> <p>Prof. P. Gumbsch, Institute for Applied Materials, Karlsruhe Institute of Technology, Straße am Forum 7, 76131, Karlsruhe, Germany; Fraunhofer Institute for Mechanics of Materials, Freiburg, Wöhlerstraße 11, 79108 Freiburg, Germany.</p> <p>Part of the work was supported by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) through the POLiS Cluster of Excellence (grant no. UP 33/1) under project ID 390874152 and by the Helmholtz association under the KNMFi program (grant no. 43.31.01).</p>
Stiffness reprogrammable magnetorheological metamaterials inspired by the spine for multi-bit visual mechanical information processing
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Data from: Electrical transport in tunably-disordered metamaterials
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DNA-silica nanolattices as mechanical metamaterials
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Architecture Controls Phonon Propagation in All-Solid Brush Colloid Metamaterials - datasets
<p>Data sets to figures in the publication https://doi.org/10.1002/smll.202304157</p> <p>Fig1 - a) Experimental dispersion plot for close-packed PS particles (diameter <em>d</em> = 307 nm) infiltrated in PDMS (red filled circles), and silica (SiO<sub>2</sub>)-PS GNP assembly (square symbols, <em>d</em> = 214 nm) with the empty symbols denoting the dispersionless, highly localized, rotational mode originating from dipole torsional modes of the individual particles; the wavenumber is normalized with respect to <em>q</em><sub>BZ</sub> along ΓM direction. Calculated band structure along the [111] fcc high-symmetry direction for the PS opal infiltrated in (fluid) PDMS b) and for the DP980 colloidal crystal c) assuming respectively PBCs and IBCs (<em>k<sub>T</sub></em> = 0.021 GPa nm<sup>−1</sup>). Solid lines: longitudinal bands in (b) and non-degenerate bands including inactive bands in (c); dotted lines: quasi-flat (highly localized) band originating from dipole torsional modes (see main text). Shaded regions denote hybridization gaps of dipole-resonance origin (LHG for longitudinal modes; HG for all modes). The horizontal red arrow in (b) indicates the position of the quadrupolar resonant frequency of the individual PS sphere in PDMS. Note that only non-degenerate bands that correspond to longitudinal phonons are shown (we have omitted transverse phonon modes since they were not observed experimentally in Figure 1a).</p> <p> </p> <p> </p> <p>Fig 2- Top panel: experimental BLS spectra of three PS tethered SiO<sub>2</sub> nanoparticle GNP films with different grafting densities, DP1300 (σ = 0.53nm<sup>−2</sup> in (a)), DP530 (σ = 0.27nm<sup>−2</sup> in (b)) and DP1170 (<em>σ</em> = 0.08 nm<sup>−2</sup> in (c)) at a wave vector <em>q</em> (arrows in (d–f)) where a hybridization gap (HG, patterned areas in (d–f)) opens in the dispersion diagrams in (d–f)). The spectra are recorded with VV (black) and VH (grey) polarizations. The isotropic spectra obtained from the subtraction of the VH (depolarized) from the experimental polarized (VV) spectra are represented by Lorentzian lines (red). Bottom panel: experimental dispersion relations of the three systems in (a–c) and their optical images as insets in (d–f). The frequency is obtained from the isotropic spectra recorded at different <em>q's</em>. The direction of <em>q</em> is selected in the transmission and reflection (grey-shaded area) geometries and the magnitude of <em>q</em> is tuned by changing the scattering angle. The HGs denoted by patterned area are clearly observed in each system. The open circles represent the localized mode with <em>q</em>-independent frequency denoted by arrows. The effective medium acoustic modes are represented by red lines in the low-<em>q</em> regime. Note the dip in the BLS intensity at the frequency inside the gap (minimum DOS)</p> <p> </p> <p>Fig3 - Dispersion relation of a) DP1300 and b) DP1170 swollen with 20 wt.% DMP (solid symbols). For comparison, the phonon dispersion in the pristine GNP films (open symbols) is shown in (a,b). The black and red lines denote the low-frequency acoustic regime of DP1170 and plasticized DP1170, while the blue and black dashed lines are to guide the eyes. The vertical arrows indicate the position of the HG indicated by the hatched and shaded areas, whereas the horizontal lines with arrows indicate the frequency <em>f</em><sub>LO</sub> of the flat mode. Insets: Experimental VV (blue) and VH (grey) for the two plasticized samples and optical images of DP1300 with 20% DMP in (a). The isotropic spectra obtained from the subtraction of the VH (depolarized) from the polarized (VV) spectra are represented by Lorentzian lines (red) as in Figure <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/smll.202304157#smll202304157-fig-0002">2a,c</a>.</p> <p> </p> <p> </p> <p>Fig4-Theoretical band diagram of the a–c) sparsely DP1170 (<em>d</em> = 140 nm) and d–f) densely grafted DP1300 (<em>d</em> = 225 nm) considering PBCs with bulk PS sound velocities ( m s<sup>−1</sup>, m s<sup>−1</sup>) along [111] (left column, plots (a,d)), and, IBCs along [111] (middle column, plots (b,e)) and [112] (right column, plots (c,f)); the parameters used for the calculations are: <em>k</em><sub>L</sub> = 1.16 GPa nm<sup>−1</sup>, <em>k</em><sub>T</sub> = 0.20 GPa nm<sup>−1</sup>) with higher than bulk PS sound velocities ( , ), for DP1170 (plots b,c) and <em>k</em><sub>L</sub> = 0.615 GPa nm<sup>−1</sup>, <em>k</em><sub>T</sub> = 0.030 GPa nm<sup>−1</sup> with bulk PS sound velocities for DP1300 (plots (e,f)). Solid and open circles indicate the experimental points. Hatched regions denote hybridization gaps (LHG for longitudinal modes; HG for all modes). Along the high symmetry line ΓL of the fcc Brillouin zone (BZ), dark/light solid and dotted blue lines denote non-degenerate (longitudinal, i.e., of Λ<sub>1</sub> symmetry), doubly-degenerated (transverse, i.e., of Λ<sub>3</sub> symmetry) and deaf (i.e., of Λ<sub>2</sub> symmetry) computed bands, respectively. Along [112] that includes the low symmetry line ΓM of the fcc BZ all bands are non-degenerate of mixed character. The position of the flat band of dipole torsional origin is indicated by a red arrow.</p> <p> </p> <p> </p> <p>Fig5 - a) Evolution of the effective medium slope for the different colloidal SiO<sub>2</sub>-PS GNP assemblies (filled symbols, left axis) and of the enhanced transverse velocity ratio for PS (open symbols, right axis) as a function of the interparticle distance, <em>d</em> = <em>d</em><sub>cal</sub> (Table <a title="Link to table" href="https://onlinelibrary.wiley.com/doi/full/10.1002/smll.202304157#smll202304157-tbl-0001">1</a>), showing a non-linear decay with increasing PS filling fraction (dashed curve is a guide to the eye). b) Redshifted variation of the localized-mode frequency, <em>f</em><sub>LO</sub>, for the GNP colloids with increasing distance <em>d</em>. Blue dotted line denotes the flat mode frequency for a fcc crystal calculated along ΓL (taken at the middle of the BZ) assuming PBCs and bulk velocities for PS; solid gray line: interpolated curve for the various samples. c) Power-law variation of the localized-mode frequency with the tangential stiffness <em>k<sub>T</sub></em>. d) The tangential stiffness <em>k<sub>T</sub></em> as a function of the crowding parameter for the DP1170, DP530 and DP1300 with decreasing <em>σ</em>. In (b,c), all scales are logarithmic, symbols are color-indexed with the grafting-chain density value of the corresponding labeled samples.</p>
Fracture metamaterials with on-demand crack paths enabled by bending
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Buckling Metamaterials for Extreme Vibration Damping
<p>This dataset belongs to the article "Buckling Metamaterials for Extreme Vibration Damping". This dataset can be used to reproduce all data reported in this article.</p> <p><strong>Abstract</strong></p> <p>Damping mechanical resonances is a formidable challenge in an increasing number of applications. Many of the passive damping methods rely on using low stiffness dissipative elements, complex mechanical structures or electrical systems, while active vibration damping systems typically add an additional layer of complexity. However, in many cases, the reduced stiffness or additional complexity and mass render these vibration damping methods unfeasible. Here, we introduce a method for passive vibration damping by allowing buckling of the primary load path, which sets an upper limit for vibration transmission: the transmitted acceleration saturates at a maximum value, no matter what the input acceleration is. This nonlinear mechanism leads to an extreme damping coefficient tan delta ~0.23 in our metal metamaterial|orders of magnitude larger than the linear damping of traditional lightweight structural materials. We demonstrate this principle experimentally and numerically in free-standing rubber and metal mechanical metamaterials over a range of accelerations, and show that bi-directional buckling can further improve its performance. Buckling metamaterials pave the way towards extreme vibration damping without mass or stiffness penalty, and as such could be applicable in a multitude of high-tech applications, including aerospace structures, vehicles and sensitive instruments.</p> <p> </p>
Inverse design of multishape metamaterials
<p>This dataset contains all data as used for the paper 'Inverse design of multishape metamaterials'.</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Multishape metamaterials exhibit more than one target shape change, e.g. the same metamaterial can have either a positive or negative Poisson’s ratio. So far, multishape metamaterials have mostly been obtained by trial-and-error. The inverse design of multiple target deformations in such multishape metamaterials remains a largely open problem. Here, we demonstrate that it is possible to design metamaterials with multiple deformations of arbitrary complexity. To this end, we introduce a novel sequential nonlinear method to design multiple target modes. We start by iteratively adding local constraints that match a first specific target mode; we then continue from the obtained geometry by iteratively adding local constraints that match a second target mode; and so on. We apply this sequential method to design up to 3 modes with complex shapes and we show that this method yields at least an 85% success rate. Yet we find that these metamaterials invariably host additional spurious modes, whose number grows with the number of target modes and their complexity, as well as the system size. Our results highlight an inherent trade-off between design freedom and design constraints and pave the way towards multi-functional materials and devices.</p>
Counting and Sequential Information Processing in Mechanical Metamaterials
<p>This dataset contains images and driving protocols used in the paper: "Counting and Sequential Information Processing in Mechanical Metamaterials", published in Physical Review Letters.</p> <p>In this paper we demonstrate "beam counters"; metamaterials that count driving cycles. We demonstrate the counters sensitivity to various driving amplitudes and show how this might be used to infer more information from the applied driving and how to construct a "lock and key" metamaterial with an internal state that can only be reached with one unique input sequence.<br> <br> The data in this replication package is hierarchically organized by making use of a directory per figure in the paper. Contained in this replication package are a number of files used in the figure as described below.</p> <p>Experimental data from the measurement setup is stored in matched subdirectorys with a name, for example "001/" and a file "times_001.csv". Here the subdirectory contains images taken of the sample and the csv file contains the times at which the images were taken, the change in pixel intensity from one image to the next (sampled at a shorter interval than the saved images) and the position of the driving stage and a measured inductive position.<br> </p> <ul> <li>fig1 <ul> <li>001/<br> - directory containing the original unedited figures comparing above and below D*</li> <li>001_cropped_selection/<br> - directory containing a cropped selection of the images used in the figure</li> <li>times_001.csv</li> </ul> </li> <li>fig2 <ul> <li>002/<br> - directory containing images of the ten counter being compressed with marked m-beams</li> <li>times_002.csv</li> <li>Kymograph.tif<br> - A kymograph image calculated from 002 by filtering the colored m-beams and taking stacking a single horizontal slice from all of the images.</li> <li>kymograph.svg<br> - The plotted horizontal position of the beam traces visible in Kymograph.tif</li> </ul> </li> <li>fig3 <ul> <li>000/<br> - directory containing images of the compression of counter with uncut a-beams</li> <li>000_cropped/</li> <li>times_000.csv</li> <li>004/<br> - directory containing images of the same counter with the a-beams slit cut</li> <li>004_cropped/</li> <li>times_004.csv</li> <li>comparison/<br> - directory containing a selection of cropped images at comparable driving used in the figure</li> </ul> </li> <li>fig4 <ul> <li>Alternative starting condition/ <ul> <li>001/<br> - directory containing images of the ten-counter compressed in an alternative starting state</li> <li>001_cropped/<br> - directory with cropped versions of the images in 001/ and further cropped versions in further subdirectories</li> <li>001_selection/</li> <li>times_001.csv</li> </ul> </li> <li>BBAC machine <ul> <li>006/<br> - directory containing images of the four counters making up the BBAC machine under a driving of BAC</li> <li>006_state/<br> - selection of images used in the paper with a subdirectory contining cropped versions</li> <li>times_006.csv</li> </ul> </li> </ul> </li> </ul>
Datasets for "Automatic Design of Mechanical Metamaterial Actuators"
<p><strong>Publication</strong></p> <p>arXiv preprint: <a href="https://arxiv.org/abs/2002.03032">https://arxiv.org/abs/2002.03032</a></p> <p>journal version: [add link to journal]</p> <p> </p> <p><strong>Code</strong></p> <p><a href="https://github.com/ComplexityBiosystems/metamech">https://github.com/ComplexityBiosystems/metamech</a></p> <p><a href="https://github.com/complexitybiosystems/metamech_datasets">https://github.com/complexitybiosystems/metamech_datasets</a></p> <p> </p> <p><strong>Datasets</strong></p> <p>Figure 2:</p> <ul> <li><em>antiparallel_{human,machine}_design.stl</em>: STL files for human design and machine design configurations performing antiparallel movement.</li> </ul> <p>Figure 3: </p> <ul> <li><em>crane_scaling_dataframe.csv: </em>raw efficiency values and execution times used to generate Figure 3</li> </ul> <p>Figure 4:</p> <ul> <li><em>eta_random.dat</em>, <em>eta_triang.dat, plot_distrib.gnupot</em>: raw values of efficiency and gnuplot script used to generate Figure 4 panel d</li> <li><em><em>eta_vs_displ_random.dat</em>, <em>eta_vs_displ_triang.dat</em></em><em>, eta_vs_displ.gnuplot</em>: raw values of efficiency and gnuplot script used to generate Figure 4 panel c</li> <li><em>structures.tar.bz2</em>: all the structures relative to Figure 4 panel d, in a format suitable for visualization with ovito software</li> </ul> <p>Figure 5: data files for human and machine generated pairs of pliers in a format suitable for visualization with ovito software. "*.agr" and "*.data" files can be opened with any text editor to directly visualize the raw data. </p> <ul> <li><em>*_rest.data:</em> rest configurations which are represented in grey in Fig. 5a and Fig. 5b. </li> <li><em>*_F0.01.data</em>: displaced configurations with input force Fext = 0.01 and output spring stiffness kext = 0.01, also reported in Fig. 5a and Fig. 5b.</li> <li><em>*.agr</em>: dataset for Figure 5c and 5d in xmgrace format.</li> </ul> <p>Figure 6:</p> <ul> <li><em>Fig6/Fig6b/*.csv</em>: raw values of efficiency used to generate Figure 6 panel b</li> <li><em>Fig6/</em><em>Fig6c-training-data/*/*.png: </em>a total of 1.163.733 PNG images, of size 192 x 168 pixels, as described in the methods section of the manuscript, organized in directories corresponding to different runs.</li> <li><em>Fig6/Fig6c-training-data/metadata.csv: </em>maps each image path to its associated efficiency value</li> <li><em>Fig6/Fig6c-efficiency-data/eta_{CNN,DEM}.txt</em>: raw values of efficiency used to generate Figure 6 panel c.</li> </ul> <p>Figure 7:</p> <ul> <li><em>Fig7/transfer_learning_regression_values.csv: full raw data, including regression coefficients, p-values, slopes and intercepts corresponding to Figure 7 panels i and j</em></li> </ul> <p><em>Figure S3:</em></p> <ul> <li><em>orthogonal_{human,machine}_design.stl: STL files for human design and machine design configurations performing orthogonal movement.</em></li> </ul> <p> </p>
Data from: Ultra-low and ultra-broad-band nonlinear acoustic metamaterials
Linear acoustic metamaterials (LAMs)are widely used to manipulate sound, but it is challenging to obtain bandgaps withthe generalized width (the ratio of the bandgap width to its start frequency) γ>1 based on linear mechanisms.Here, we adopt both theoretical and experimental approaches todescribe the nonlinear chaotic mechanism in both one-dimensional (1D) and two-dimensional (2D)nonlinear acoustic metamaterials (NAMs). This mechanismenables the strongly NAMsto reduce the transmission of wave by as much as 20-40dB in an ultra-low and ultra-broad bandthat consists of bandgaps and chaotic bands.With the subwavelength cells, the generalized width reachesγ=21 in a 1D NAM and it goes up to γ=39 in a 2D NAM, which overcomesthe limit of bandwidth for wave suppression in current LAMs.Our work allows for further progress in the understanding of the dynamics of NAMs and it opens up avenuesindouble-ultra acoustic manipulations.
Dataset of Performing Calculus with Epsilon-near-zero Metamaterials
<p>Dataset of <em>Performing Calculus with Epsilon-near-zero Metamaterials</em></p>
Viscoelastic Snapping Metamaterials
<p>This dataset contains all data as used for the paper 'Viscoelastic Snapping Metamaterials', as published in the Journal of Applied Mechanics.</p> <p> </p> <p><strong>Abstract:</strong></p> <p>Mechanical metamaterials are artificial composites with tunable advanced mechanical properties. Particularly, interesting types of mechanical metamaterials are flexible metamaterials, which harness internal rotations and instabilities to exhibit programable deformations. However, to date, such materials have mostly been considered using nearly purely elastic constituents such as neo-Hookean rubbers. Here, we experimentally explore the mechanical snap-through response of metamaterials that are made of constituents that exhibit large viscoelastic relaxation effects, encountered in the vast majority of rubbers, in particular, in 3D printed rubbers. We show that they exhibit a very strong sensitivity to the loading rate. In particular, the mechanical instability is strongly affected beyond a certain loading rate. We rationalize our findings with a compliant mechanism model augmented with viscoelastic interactions, which qualitatively captures well the reported behavior, suggesting that the sensitivity to the loading rate stems from the nonlinear and inhomogeneous deformation rate, provoked by internal rotations. Our findings bring a novel understanding of metamaterials in the dynamical regime and open up avenues for the use of metamaterials for dynamical shape-changing as well as vibration and impact damping applications.</p> <p> </p> <p> </p> <p> </p>
Data from: Ultra-low and ultra-broad-band nonlinear acoustic metamaterials
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Terahertz Metamaterials for Tumour Marker Concentration Identification
ClinicalTrials.gov study NCT04125524. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility Evaluation - Blood Glucose Level Monitoring by Microwave Metamaterial Sensor in Blood Samples.
ClinicalTrials.gov study NCT05929196. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Application of Extracellular Vesicle Detection in Gastric Juice Based on Metamaterial Sensing in the Diagnosis of Gastric Cancer and Related Diseases
ClinicalTrials.gov study NCT07332104. IPD Sharing: Not stated. Countries: 0. Publications: 0.
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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.