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120 results for “Finite Elements”
FIGURE 3 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 3. Locations of the nine nodes at which the stresses were evaluated.
FIGURE 5. First 12 in Coupling finite element analysis and multibody system dynamics for biological research
FIGURE 5. First 12 modes of the skull in case 1 (without web of beams in the model).
FIGURE S3 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE S3. Map of Von Mises stress distribution in the 20 FEA models of Cingulata mandibles.
A high-resolution finite element method (FEM) human head model for non-invasive brain stimulation
<p>High-resolution finite element method (FEM) model of a human head for non-invasive brain stimulation modeling using SimNIBS or other compatible software. The original head model (Ernie) was downloaded from the tutorial dataset of <a href="http://simnibs.org">www.simnibs.org</a> and further refined in grey matter and white matter regions.</p> <p>This supplementary dataset is released as part of the NeMo-TMS toolbox (<a href="https://github.com/OpitzLab/NeMo-TMS">https://github.com/OpitzLab/NeMo-TMS</a>). Please refer to the corresponding article for more information:</p> <p>Shirinpour, S., Hananeia, N., Rosado, J., Galanis, C., Vlachos, A., Jedlicka, P., Queisser, G., & Opitz, A. (2020). Multi-scale Modeling Toolbox for Single Neuron and Subcellular Activity under (repetitive) Transcranial Magnetic Stimulation. <em>BioRxiv</em>, 2020.09.23.310219. <a href="https://doi.org/10.1101/2020.09.23.310219">https://doi.org/10.1101/2020.09.23.310219</a></p>
Finite Element Analysis-Based Soft Robotic Modeling: Simulating a Soft Actuator in SOFA
<p>This document represent a step by step guide for a simulation in SOFA framework of a cable driven soft robot.</p>
Input files for binding energy calculations in "Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation"
<p>Input files (meshes, pqr, cavities) for binding energy calculations in the manuscript "Coupling finite and boundary element methods to solve the Poisson--Boltzmann equation for electrostatics in molecular solvation" (preprint at https://arxiv.org/abs/2305.11886). This data set of molecular structures was originally proposed by Harris, R.C., Boschtisch, A.H., and Fenley, M.O., JCTC 9 (8) (2013) (<a href="https://doi.org/10.1021/ct300765w">https://doi.org/10.1021/ct300765w</a>). Scripts to generate results are available in https://github.com/MichalBosy/FEM_BEM_coupling/.</p>
Knee function through finite element analysis and the role of Miocene hominoids in our understanding of the origin of antipronograde behaviours: the Pierolapithecus catalaunicus patella as a case study
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Finite element models from: Mechanical compensation in the evolution of the early hominin feeding apparatus
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Finite element models of human left atria with fibrotic remodeling
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Animations of vibration modes obtained from finite element simulations performed on the skull of a juvenile gray whale
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Finite element models presented from: Bite force production and the origin of Homo
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Finite element modelling of hearing capabilities in the Little Penguin (Eudyptula minor)
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Hybrid Multilevel Solvers for Discontinuous Galerkin Finite Element Discrete Ordinate (DG-FEM-SN) Diffusion Synthetic Acceleration (DSA) of Radiation Transport Algorithms
<p>In accordance with EPSRC funding requirements this folder contains all raw data relevant to the named paper: </p> <p>Hybrid Multilevel Solvers for Discontinuous Galerkin Finite Element Discrete Ordinate (DG-FEM-SN) Diffusion Synthetic Acceleration (DSA) of Radiation Transport Algorithms</p> <p><br> Journal: Annals of Nuclear Energy</p>
Exploring the preservation of a parasitic trace in decapod crustaceans using finite elements analysis
<p>The fossil record of parasitism is poorly understood, due largely to the scarcity of strong fossil evidence of parasites. Understanding the dynamics of preservation for fossil parasitic evidence is critical to contextualizing the fossil record of parasitism. Here, we present the first use of X-ray computed tomography (CT) scanning and finite elements analysis (FEA) to analyze the impact of a parasite-induced fossil trace on host preservation. Seven fossil and modern decapod crustacean specimens with branchial swellings attributed to an epicaridean isopod parasite were CT scanned and examined with FEA to assess differences in the magnitude and distribution of stress between normal and swollen branchial chambers. The results of the FEA show highly localized stress peaks in reaction to point forces, with higher peak stress on the swollen branchial chamber for all specimens, suggesting a possible shape-related decrease in the preservation potential of these parasitic swellings. Broader application of these methods as well as advances in the application of 3D data analysis in paleontology are critical to understanding the fossil record of parasitism and other poorly represented fossil groups.</p>
Finite element dataset and Artificial Neural Networks algorithms to predict the mechanical properties of innovative CLT
<p>This folder includes the data collected from the finite element simulations of the innovative CLT to compute its mechanical properties, the error of the closed-form solutions predicting the bending stiffness in the minor direction D22, the variation of the distance between the Reissner Mindlin and Bending Gradient theory in terms of spacing between lateral lamellas, the hyperparameters tuning of several Artificial Neural Networks algorithms with or without prior knowledge, the ML evaluations, the saved artificial neural network algorithms to predict each mechanical property of innovative CLT, and the ML application to use it.</p>
Collected data from finite element simulations to calculate the mechanical properties of innovative CLT using ABAQUS
<p>A dataset is collected from finite element computation using ABAQUS for different configurations of innovative CLT. In the dataset, we have the inputs (w, t1, t2, t3, t4, s, E_L, G_LZ, G_CZ) describing the microstructure of innovative CLT, and the elastic properties (Membrane stiffness: A11, A22, In-plane Poisson effect stiffness: A12, In-plane shear stiffness: A33, Bending stiffness: D11, D22, Out of plane Poisson effect stiffness: D12, Torsional stiffness: D33, out of plane Bending Gradient shear compliances: h11, h12, h16, h22, h26, h33, h34, h35, h44, h45, h55, h66) deriving from the FE computations. We have also the results of closed-form solutions that predicts these elastic properties of innovative CLT. </p>
Modeling Sequences of Earthquakes and Aseismic Slip (SEAS) in Elasto-Plastic Fault Zones With a Hybrid Finite Element Spectral Boundary Integral Scheme
<p>This repository contains the results of 2D simulations of the earthquake cycles accounting for off-fault plasticity.</p> <p>Folder Case1 contains the slip rate and time history for all simulations with cohesion c = 47 MPa</p> <p>Folder Case2 contains the slip rate and time history for all simulations with cohesion c = 25 MPa</p> <p>the mat files contain equivalent plastic strain of each element stored at the start and end of each event with element connectivity and node coordinates.</p>
Dataset presented in the recently submitted AGU manuscript "A multi-resolution finite-element approach for global electromagnetic induction modeling with application to southeast China coastal geomagnetic observatory studies"
<p>Dataset presented in the recently submitted AGU paper "A multi-resolution finite-element approach for global electromagnetic induction modeling with application to southeast China coastal geomagnetic observatory studies"</p>
Discontinuous Galerkin spatial discretisation of the neutron transport equation with pyramid finite elements and a discrete ordinate (SN) angular approximation.
<p>In accordance with EPSRC funding requirements this folder contains all raw data relevant to the named paper: </p> <p>Discontinuous Galerkin spatial discretisation of the neutron transport equation with pyramid finite elements and a discrete ordinate (SN) angular approximation.</p> <p><br> Journal: Annals of Nuclear Energy</p> <p> </p>
Files for "Ocellaris: a discontinuous Galerkin finite element solver for two-phase flows with high density differences"
<p>Input files and scripts sufficient to reproduce the results shown in the paper "Ocellaris: a discontinuous Galerkin finite element solver for high density ratio two phase flows".</p> <p>A version of Ocellaris similar to version 2019.0.1 was used and all results should be reproducible by this version of Ocellaris. See <a href="https://bitbucket.org/ocellarisproject/ocellaris/">the Ocellaris source code repository</a>, <a href="https://pypi.org/project/ocellaris/2019.0.1/">Ocellaris 2019.0.1 on PyPi</a>, or DOI <a href="https://zenodo.org/record/2558303">10.5281/zenodo.2558303</a>.</p> <p>The Ocellaris user guide can be found at <a href="https://www.ocellaris.org">www.ocellaris.org</a> and it includes guides to how to run Ocellaris in Singularity or Docker containers for ease of installation and testing. Containers for Ocellaris 2019.0.0 are available, for Docker run:</p> <pre><code class="language-bash"># On the host machine: docker run -it trlandet/fenics-dev:2018.1.0.r3 # Inside the Docker container pip3 install ocellaris==2019.0.1 --user </code></pre> <p> </p>
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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)
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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.