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    Astra built a virtual materials lab and used it to search for designs, a user says

    The user says Astra turned images of biological microstructure into a 3D studio with editable geometries, physics simulations and export tools for 3D printing.

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    TLDR

    A user describes an experiment asking Astra to design metamaterials—materials whose properties depend on their internal architecture. They say the AI built a 3D studio from biological microstructure images, including tools to simulate deformation and fracture and export designs for 3D printing. The user then asked Astra to search with its own app for a high work-to-failure/peak-strength ratio. They report that the leading candidate reached about 2.1 times the reference ratio.

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    3 Sources, first seen 24d ago

    Combined views

    22.2K

    3 Sources, first seen 24d ago

    186 likes
    24d ago
    first seen 24d ago
    186 likes
    16 comments
    92 saves
    27 reposts

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    16 comments
    92 saves
    27 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    3 Sources

    @ProfBuehlerMITAstra is an incredible world builder and explorer, and can invent its own scientific instruments - crossing a game-changing threshold: it turned a few images of a biological microstructure into a full-blown metamaterials lab, then used its own creation to discover a design with ~2.1x the reference work-to-failure/peak-strength ratio. Metamaterials are some of the most complex materials we can engineer. Their properties come from deep architectural complexity - struts, cells, disorder, and hierarchy arranged across multiple length scales determine how the material deforms, absorbs energy, and fails. Designing them means searching a geometric space far too large for "intuition" alone. In this experiment we handed an AI agent that entire problem end-to-end, from image, to simulating the physics, to fabrication-ready geometry. We started with an image of hierarchical, biological architecture; Astra then built a complete 3D metamaterial studio: editable geometries, multiple levels of hierarchy, disorder, gradients, a complete physics simulator featuring linear and nonlinear material responses, deformation and fracture experiments (with replay), and STL export for 3D printing. Then we asked the agent to use the app it created to search for a high work-to-failure/peak-strength ratio. Among the candidates, the leading design reached approximately 2.1x the reference ratio. The movie follows the structures through deformation and fracture, connects their designs to the property map, and shows the finalist assembled geometrically into a connected multi-scale material. Image ➡️ executable world ➡️ experiments ➡️ design search ➡️ candidate discovery ➡️ geometry for fabrication ➡️ manufacturing
    @DanielleFongthat's what i'm talking about. build the instrument, then work through the instrument, and adapt. it can do this so well
    @teortaxesTexMaybe these insufferable bots serve a purpose if you're sincerely responding to them, you might not be jaded enough to evaluate the clanker's output either. Markus seems to be a professional, but now I'd double check his results.

    3 Sources

    @ProfBuehlerMITAstra is an incredible world builder and explorer, and can invent its own scientific instruments - crossing a game-changing threshold: it turned a few images of a biological microstructure into a full-blown metamaterials lab, then used its own creation to discover a design with ~2.1x the reference work-to-failure/peak-strength ratio. Metamaterials are some of the most complex materials we can engineer. Their properties come from deep architectural complexity - struts, cells, disorder, and hierarchy arranged across multiple length scales determine how the material deforms, absorbs energy, and fails. Designing them means searching a geometric space far too large for "intuition" alone. In this experiment we handed an AI agent that entire problem end-to-end, from image, to simulating the physics, to fabrication-ready geometry. We started with an image of hierarchical, biological architecture; Astra then built a complete 3D metamaterial studio: editable geometries, multiple levels of hierarchy, disorder, gradients, a complete physics simulator featuring linear and nonlinear material responses, deformation and fracture experiments (with replay), and STL export for 3D printing. Then we asked the agent to use the app it created to search for a high work-to-failure/peak-strength ratio. Among the candidates, the leading design reached approximately 2.1x the reference ratio. The movie follows the structures through deformation and fracture, connects their designs to the property map, and shows the finalist assembled geometrically into a connected multi-scale material. Image ➡️ executable world ➡️ experiments ➡️ design search ➡️ candidate discovery ➡️ geometry for fabrication ➡️ manufacturing
    @DanielleFongthat's what i'm talking about. build the instrument, then work through the instrument, and adapt. it can do this so well
    @teortaxesTexMaybe these insufferable bots serve a purpose if you're sincerely responding to them, you might not be jaded enough to evaluate the clanker's output either. Markus seems to be a professional, but now I'd double check his results.