Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Lattice structures fabricated by additive manufacturing provide unprecedented opportunities for lightweight design, mechanical regulation, and functional integration. However, their efficient development remains constrained by vast design spaces and complex structure-property relationships. Inspired by the Materials Genome Initiative, we propose a Lattice Genome framework, a data-driven approach that integrates high-throughput simulations and performance databases to systematically map lattice properties. Specifically, we develop a component-level, regionally programmable, multi-objective design strategy for coordinated structure-property regulation. The efficacy of the proposed framework is demonstrated through two representative cases: (1) tailoring internal stress distributions to match preset targets under constant relative density, and (2) enhancing load capacity (62% higher than the conventional design) while redirecting failure away from critical zones in cavity-containing components. Overall, this work establishes a generalizable and scalable paradigm for intelligent lattice design and provides a transferable, data-centric platform that lays the groundwork for efficient, multifunctional applications in additive manufacturing.

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Publication Details

Journal
Advanced Science
Published
2026-02-15
DOI
https://doi.org/10.1002/advs.202522126
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.00

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article

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Yufan Zhao, Pan Wang, Hao Wang, Haoyuan Deng et al.
Advanced Science
Cellular and Composite Structures
article

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Yufan Zhao, Pan Wang, Hao Wang, Haoyuan Deng, Hongze Wang, Haiou Yang, Xin Lin, Akihiko Chiba, Mingyang Cao
article en

Abstract

Lattice structures fabricated by additive manufacturing provide unprecedented opportunities for lightweight design, mechanical regulation, and functional integration. However, their efficient development remains constrained by vast design spaces and complex structure-property relationships. Inspired by the Materials Genome Initiative, we propose a Lattice Genome framework, a data-driven approach that integrates high-throughput simulations and performance databases to systematically map lattice properties. Specifically, we develop a component-level, regionally programmable, multi-objective design strategy for coordinated structure-property regulation. The efficacy of the proposed framework is demonstrated through two representative cases: (1) tailoring internal stress distributions to match preset targets under constant relative density, and (2) enhancing load capacity (62% higher than the conventional design) while redirecting failure away from critical zones in cavity-containing components. Overall, this work establishes a generalizable and scalable paradigm for intelligent lattice design and provides a transferable, data-centric platform that lays the groundwork for efficient, multifunctional applications in additive manufacturing.

Advanced Science
Agency for Science, Technology and Research (SG), Shimane University (JP), Northwestern Polytechnical University (CN), Shanghai Jiao Tong University (CN), Tohoku University (JP), Singapore Institute of Manufacturing Technology (SG)
National Natural Science Foundation of China, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Cellular and Composite Structures
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