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      A damage-tolerant, dual-scale, single-crystalline microlattice in the knobby starfish, Protoreaster nodosus

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          Abstract

          Cellular solids (e.g., foams and honeycombs) are widely found in natural and engineering systems because of their high mechanical efficiency and tailorable properties. While these materials are often based on polycrystalline or amorphous constituents, here we report an unusual dual-scale, single-crystalline microlattice found in the biomineralized skeleton of the knobby starfish, Protoreaster nodosus . This structure has a diamond-triply periodic minimal surface geometry (lattice constant, approximately 30 micrometers), the [111] direction of which is aligned with the c -axis of the constituent calcite at the atomic scale. This dual-scale crystallographically coaligned microlattice, which exhibits lattice-level structural gradients and dislocations, combined with the atomic-level conchoidal fracture behavior of biogenic calcite, substantially enhances the damage tolerance of this hierarchical biological microlattice, thus providing important insights for designing synthetic architected cellular solids.

          Naturally strong but light

          Cellular solids such as foams or honeycombs can exhibit excellent stiffness or toughness with minimal weight. Yang et al . examined ossicles, calcareous skeletal elements from the skeletons of knobby starfish (see the Perspective by Hyde and Meldrum). The authors show that the structure consists of a dual-scale microlattice with both atomic-level calcite and micro-level diamond-triply periodic minimal surface, as well as gradients in composition and atomic level defects. It is these combined features that enhance the damage tolerance of the ossicles under compression, giving the starfish remarkable specific energy absorption capabilities. —MSL

          Abstract

          Knobby starfish construct a skeleton with a periodic porous lattice from single-crystal calcite for enhanced protection.

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          Most cited references51

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          ilastik: interactive machine learning for (bio)image analysis

          We present ilastik, an easy-to-use interactive tool that brings machine-learning-based (bio)image analysis to end users without substantial computational expertise. It contains pre-defined workflows for image segmentation, object classification, counting and tracking. Users adapt the workflows to the problem at hand by interactively providing sparse training annotations for a nonlinear classifier. ilastik can process data in up to five dimensions (3D, time and number of channels). Its computational back end runs operations on-demand wherever possible, allowing for interactive prediction on data larger than RAM. Once the classifiers are trained, ilastik workflows can be applied to new data from the command line without further user interaction. We describe all ilastik workflows in detail, including three case studies and a discussion on the expected performance.
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            Visualization and analysis of atomistic simulation data with OVITO–the Open Visualization Tool

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              3D-printing of lightweight cellular composites.

              A new epoxy-based ink is reported, which enables 3D printing of lightweight cellular composites with controlled alignment of multiscale, high-aspectratio fiber reinforcement to create hierarchical structures inspired by balsa wood. Young's modulus values up to 10 times higher than existing commercially available 3D-printed polymers are attainable, while comparable strength values are maintained.
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                Author and article information

                Contributors
                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                February 11 2022
                February 11 2022
                : 375
                : 6581
                : 647-652
                Affiliations
                [1 ]Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
                [2 ]Earth and Oceanographic Science, Bowdoin College, Brunswick, ME 04011, USA.
                [3 ]Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
                Article
                10.1126/science.abj9472
                35143308
                798c3330-421f-4ef6-b2ee-385e31369a98
                © 2022
                History

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