Generative Lattice Units with 3D Diffusion for Inverse Design: GLU3D Article Swipe
Yayati Jadhav
,
Joeseph Berthel
,
Chunshan Hu
,
Rahul Panat
,
Jack Beuth
,
Amir Barati Farimani
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/adfm.202404165
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1002/adfm.202404165
Architected materials, exhibiting unique mechanical properties derived from their designs, have seen significant growth due to the design versatility and cost‐effectiveness offered by additive manufacturing. While finite element methods accurately evaluate the mechanical response of these structures, identifying new designs exhibiting specific mechanical properties remains challenging, often requiring computationally expensive simulations and design expertise. This underscores the need for a framework that generates structures based on desired mechanical properties without requiring expert input. In this work, a novel denoising diffusion‐based model is presented that generates complex lattice unit cell structures based on desired mechanical properties, manufacturable via additive techniques. The proposed framework generates unique lattice unit cell structures in the implicit domain which can be easily converted to mesh structures for fabrication and voxel structures for structural analysis. The proposed model accelerates the design process by generating unique structures with both isotropic and anisotropic stiffness, outperforming traditional unit cells like simple cubic and body‐centered‐cubic in energy absorption and compression load at lower densities. Additionally, this work explores a new class of hybrid structures, derived by combining multiple configurations of triply periodic minimal surface structures using non‐linear transition functions, which may offer equivalent or enhanced strength compared to conventional designs.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/adfm.202404165
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adfm.202404165
- OA Status
- bronze
- Cited By
- 13
- References
- 87
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399444986
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https://openalex.org/W4399444986Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/adfm.202404165Digital Object Identifier
- Title
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Generative Lattice Units with 3D Diffusion for Inverse Design: GLU3DWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-06-06Full publication date if available
- Authors
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Yayati Jadhav, Joeseph Berthel, Chunshan Hu, Rahul Panat, Jack Beuth, Amir Barati FarimaniList of authors in order
- Landing page
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https://doi.org/10.1002/adfm.202404165Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adfm.202404165Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adfm.202404165Direct OA link when available
- Concepts
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Lattice (music), Finite element method, Materials science, Isotropy, Stiffness, Inverse, Computer science, Anisotropy, Voxel, Mechanical engineering, Computational science, Structural engineering, Geometry, Artificial intelligence, Mathematics, Composite material, Acoustics, Engineering, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
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13Total citation count in OpenAlex
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2025: 11, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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