ArticleScience advances2021
Optimal and continuous multilattice embedding.
Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Strategy for hybrid connection of porous strut and triply periodic minimal surface lattice structures.Nature communications · 2026Article
- Inverse Co-Design of Mechanical And Sensory Properties in Soft Lattice Foams for Multifunctional Wearables.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Lattice structure musculoskeletal robots: Harnessing programmable geometric topology and anisotropy.Science advances · 2025Article
- Smooth Like Butter: Evaluating Multi-lattice Transitions in Property-Augmented Latent Spaces.3D printing and additive manufacturing · 2025Article
- Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions.3D printing and additive manufacturing · 2024Article
- Metaheuristic aided structural topology optimization method for heat sink design with low electromagnetic interference.Scientific reports · 2024Article
- Thermodynamically consistent concurrent material and structure optimization of elastoplastic multiphase hierarchical systems.Structural and multidisciplinary optimization : journal of the International Society for Structural and Multidisciplinary Optimization · 2023Article
- Inverting the structure-property map of truss metamaterials by deep learning.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Because of increased geometric freedom at a widening range of length scales and access to a growing material space, additive manufacturing has spurred renewed interest in topology optimization of parts with spatially varying material properties and structural hierarchy. Simultaneously, a surge of micro/nanoarchitected materials have been demonstrated. Nevertheless, multiscale design and micro/nanoscale additive manufacturing have yet to be sufficiently integrated to achieve free-form, multiscale, biomimetic structures. We unify design and manufacturing of spatially varying, hierarchical structures through a multimicrostructure topology optimization formulation with continuous multimicrostructure embedding. The approach leads to an optimized layout of multiple microstructural materials within an optimized macrostructure geometry, manufactured with continuously graded interfaces. To make the process modular and controllable and to avoid prohibitively expensive surface representations, we embed the microstructures directly into the 3D printer slices. The ideas provide a critical, interdisciplinary link at the convergence of material and structure in optimal design and manufacturing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.