Search Results - "Aydin, Roland C."

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    Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models by Schiessler, Elisabeth J., Würger, Tim, Lamaka, Sviatlana V., Meißner, Robert H., Cyron, Christian J., Zheludkevich, Mikhail L., Feiler, Christian, Aydin, Roland C.

    Published in npj computational materials (01-12-2021)
    “…The degradation behaviour of magnesium and its alloys can be tuned by small organic molecules. However, an automatic identification of effective organic…”
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    The Evolution of Radiation Dose over Time: Measurement of a Patient Cohort undergoing Whole-Body Examinations on three Computer Tomography Generations by Marcus, Roy P, Koerner, Elise, Aydin, Roland C, Zinsser, Dominik, Finke, Tobias, Cyron, Christian J, Bamberg, Fabian, Nikolaou, Konstantin, Notohamiprodjo, Mike

    Published in European journal of radiology (01-01-2017)
    “…Abstract Objectives To evaluate and compare the radiation dose and image quality of whole-body-CT (WBCT) performed on the 3rd-generation dual-source-CT (DSCT)…”
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    Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning by Linka, Kevin, Hillgärtner, Markus, Abdolazizi, Kian P., Aydin, Roland C., Itskov, Mikhail, Cyron, Christian J.

    Published in Journal of computational physics (15-03-2021)
    “…•Novel machine learning architecture for data-driven constitutive modeling.•Reducing required training data by incorporation of continuum mechanical…”
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    Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data by Sardhara , Trushal, Aydin , Roland C., Li , Yong, Piché , Nicolas, Gauvin , Raynald, Cyron , Christian J., Ritter , Martin

    Published in Frontiers in materials (28-02-2022)
    “…Focused ion beam (FIB) tomography is a destructive technique used to collect three-dimensional (3D) structural information at a resolution of a few nanometers…”
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    Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features by Schiessler, Elisabeth J., Würger, Tim, Vaghefinazari, Bahram, Lamaka, Sviatlana V., Meißner, Robert H., Cyron, Christian J., Zheludkevich, Mikhail L., Feiler, Christian, Aydin, Roland C.

    Published in Npj Materials degradation (12-09-2023)
    “…Small organic molecules can alter the degradation rates of the magnesium alloy ZE41. However, identifying suitable candidate compounds from the vast chemical…”
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    A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics by Bock, Frederic E., Aydin, Roland C., Cyron, Christian J., Huber, Norbert, Kalidindi, Surya R., Klusemann, Benjamin

    Published in Frontiers in materials (15-05-2019)
    “…Machine learning tools represent key enablers for empowering material scientists and engineers to accelerate the development of novel materials, processes and…”
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    Neural network surgery: Combining training with topology optimization by Schiessler, Elisabeth J., Aydin, Roland C., Linka, Kevin, Cyron, Christian J.

    Published in Neural networks (01-12-2021)
    “…With ever increasing computational capacities, neural networks become more and more proficient at solving complex tasks. However, picking a sufficiently good…”
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    Mechanics of the stomach: A review of an emerging field of biomechanics by Brandstaeter, Sebastian, Fuchs, Sebastian L., Aydin, Roland C., Cyron, Christian J.

    “…Mathematical and computational modeling of the stomach is an emerging field of biomechanics where several complex phenomena, such as gastric electrophysiology,…”
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    Mechanical homeostasis in tissue equivalents: a review by Eichinger, Jonas F., Haeusel, Lea J., Paukner, Daniel, Aydin, Roland C., Humphrey, Jay D., Cyron, Christian J.

    “…There is substantial evidence that growth and remodeling of load bearing soft biological tissues is to a large extent controlled by mechanical factors…”
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    Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials by Sardhara, Trushal, Shkurmanov, Alexander, Li, Yong, Shi, Shan, Cyron, Christian J., Aydin, Roland C., Ritter, Martin

    Published in Ultramicroscopy (01-02-2024)
    “…In focused ion beam (FIB) tomography, a combination of FIB with a scanning electron microscope (SEM) is used for collecting a series of planar images of the…”
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    A computational framework for modeling cell–matrix interactions in soft biological tissues by Eichinger, Jonas F., Grill, Maximilian J., Kermani, Iman Davoodi, Aydin, Roland C., Wall, Wolfgang A., Humphrey, Jay D., Cyron, Christian J.

    “…Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point…”
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    What do cells regulate in soft tissues on short time scales? by Eichinger, Jonas F., Paukner, Daniel, Aydin, Roland C., Wall, Wolfgang A., Humphrey, Jay D., Cyron, Christian J.

    Published in Acta biomaterialia (15-10-2021)
    “…[Display omitted] Cells within living soft biological tissues seem to promote the maintenance of a mechanical state within a defined range near a so-called…”
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    The accuracy of laser flash analysis explored by finite element method and numerical fitting by Philipp, Alexandra, Eichinger, Jonas F., Aydin, Roland C., Georgiadis, Argyrios, Cyron, Christian J., Retsch, Markus

    Published in Heat and mass transfer (01-03-2020)
    “…Laser flash analysis (LFA) has become over the last decades a widely used standard technique to measure the thermal diffusivity of bulk materials under various…”
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    Global Sensitivity Analysis of a Homogenized Constrained Mixture Model of Arterial Growth and Remodeling by Brandstaeter, Sebastian, Fuchs, Sebastian L., Biehler, Jonas, Aydin, Roland C., Wall, Wolfgang A., Cyron, Christian J.

    Published in Journal of elasticity (01-08-2021)
    “…Growth and remodeling in arterial tissue have attracted considerable attention over the last decade. Mathematical models have been proposed, and computational…”
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    Computational model of gastric motility with active‐strain electromechanics by Brandstaeter, Sebastian, Gizzi, Alessio, Fuchs, Sebastian L., Gebauer, Amadeus M., Aydin, Roland C., Cyron, Christian J.

    “…We present an electro‐mechanical constitutive framework for the modeling of gastric motility, including pacemaker electrophysiology and smooth muscle…”
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    Comparative analysis of ternary TiAlNb interatomic potentials: moment tensor vs. deep learning approaches by Chandran, Anju, Santhosh, Archa, Pistidda, Claudio, Jerabek, Paul, Aydin, Roland C., Cyron, Christian J.

    Published in Frontiers in materials (03-10-2024)
    “…Intermetallic titanium aluminides, leveraging the ordered γ -TiAl phase, attract increasing attention in aerospace and automotive engineering due to their…”
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    Higher patient satisfaction with antidepressants correlates with earlier drug release dates across online user‐generated medical databases by Siskind, Scott, Aydin, Roland C., Matta, Punit, Cyron, Christian J.

    Published in Pharmacology research & perspectives (01-10-2017)
    “…Studies establishing the use of new antidepressants often rely simply on proving efficacy of a new compound, comparing against placebo and single compound. The…”
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    Simulated annealing framework for generating representative volume elements of materials with complex ligamentous microstructures by Davoodi Kermani, Iman, Dyckhoff, Lena, Aydin, Roland C., Huber, Norbert, Cyron, Christian J.

    Published in Computational materials science (01-09-2023)
    “…At the microscale, various materials from biological tissues to nanoporous metals are formed by networks of ligaments. Here we propose a highly efficient…”
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