Beyond unit cells: Programmable morphogenetic design of irregular architected materials

Architected materials derive functionality from geometry, yet conventional unit cell-based design limits functional heterogeneity, geometric adaptability, and robustness to defects. Inspired by natural morphogenesis, we introduce RDGenCAD, a morphogenetic design framework that translates programmable growth rules into reaction-diffusion dynamics to generate self-organized, CAD-ready architectures. A database of 120,000 morphogenetic structures reveals statistically deterministic and continuous tunability of elastic properties across auxetic and conventional regimes, despite pronounced geometric irregularity. These architectures further exhibit emergent flaw insensitivity and crack deflection through stress compartmentalization, leading to synergistic gains in strength and toughness relative to regular lattices. By shifting architected material design from unit-cell tessellation to programmable morphogenetic growth, this work establishes self-organization as a generative principle for designing materials that are irregular yet predictable, heterogeneous yet "coherent," and directly manufacturable.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2026-06-29
DOI
https://doi.org/10.1073/pnas.2606412123
Primary Topic
Cellular and Composite Structures
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond unit cells: Programmable morphogenetic design of irregular architected materials

Huajian Gao, Zelin Zhu, Qingkun Zhao, Haofei Zhou et al.
Proceedings of the National Academy of Sciences
Cellular and Composite Structures
article

Beyond unit cells: Programmable morphogenetic design of irregular architected materials

Huajian Gao, Zelin Zhu, Qingkun Zhao, Haofei Zhou, Yi Zhou, Taishan Liu, Zhenghao Zhang, Hailin Deng, W P Yang, Hua-Xin Peng
article en

Abstract

Architected materials derive functionality from geometry, yet conventional unit cell-based design limits functional heterogeneity, geometric adaptability, and robustness to defects. Inspired by natural morphogenesis, we introduce RDGenCAD, a morphogenetic design framework that translates programmable growth rules into reaction-diffusion dynamics to generate self-organized, CAD-ready architectures. A database of 120,000 morphogenetic structures reveals statistically deterministic and continuous tunability of elastic properties across auxetic and conventional regimes, despite pronounced geometric irregularity. These architectures further exhibit emergent flaw insensitivity and crack deflection through stress compartmentalization, leading to synergistic gains in strength and toughness relative to regular lattices. By shifting architected material design from unit-cell tessellation to programmable morphogenetic growth, this work establishes self-organization as a generative principle for designing materials that are irregular yet predictable, heterogeneous yet "coherent," and directly manufacturable.

Proceedings of the National Academy of SciencesVol. 123(27)
Zhejiang University (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 13%
Cellular and Composite Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Beyond unit cells: Programmable morphogenetic design of irregular architected materials — Huajian Gao, Zelin Zhu, et al. · Proceedings of the National Academy of Sciences (2026) | TGRS Research Map | TGRS