Simple arithmetic operation in latent space can generate a novel three-dimensional graph metamaterials

npj Computational Materials, Год журнала: 2024, Номер 10(1)

Опубликована: Окт. 8, 2024

Recent advancements in artificial intelligence (AI)-based design strategies for metamaterials have revolutionized the creation of customizable architectures spanning nano- to macro-scale dimensions. However, their increasing complexity poses challenges generating diverse metamaterials, hindering widespread adoption. Here, we introduce an innovative strategy three-dimensional graph through simple arithmetic operations within latent space. By leveraging carefully designed hidden representations disentangled space and diffusion processes, our method unravels complexity, with comprehensive understanding. This versatile methodology facilitates ranging from repetitive lattices functionally graded materials. We believe that this represents a foundational step advancing comprehension intricate space, offering potential establish unified model various traditional generative models realm metamaterials.

Язык: Английский

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Identification of mechanically representative samples for aperiodic honeycombs

Materials Today Communications, Год журнала: 2024, Номер 38, С. 108505 - 108505

Опубликована: Март 1, 2024

Honeycombs are a class of metamaterials widely used in engineering. Traditionally they have been comprised periodic arrays hexagonal, triangular and square cells however there many studies into novel variations these lattices. Recent works focused on the mechanical properties based lattices with aperiodic order. This promising new field study offers potential for wider range available properties. With this comes challenges producing, testing simulating structures. Analysis cannot be carried out unit cell as patterns lack translational symmetry. Furthermore, it is unknown how much structure required representative sample. uses statistical approach to investigate patch size influences ability accurately estimate honeycombs. By exploiting numerical framework requiring minimal computational resources, 1600 simulations were randomly sampled patches. was supported by mechanically targeted set 40 additively manufactured It found that most cases increases resulted consistent reductions variation samples varying less than 5.3% from mean when considering Young's modulus

Язык: Английский

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Inverse design of growth-inspired irregular architected materials for programmable properties

Extreme Mechanics Letters, Год журнала: 2024, Номер 70, С. 102196 - 102196

Опубликована: Июль 5, 2024

Язык: Английский

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Extracting Geometry and Topology of Orange Pericarps for the Design of Bioinspired Energy Absorbing Materials

Advanced Materials, Год журнала: 2024, Номер unknown

Опубликована: Июль 27, 2024

As a result of evolution, many biological materials have developed irregular structures that lead to outstanding mechanical performances, like high stiffness-to-weight ratios and good energy absorption. However, reproducing these in synthetic remains complex design fabrication challenge. Here, bioinspired material method is presented characterizes the structure as network building blocks, also known tiles, rules connect them. Rather than replicating one-to-one, are generated with same distributions tiles connectivity it shown equivalent structure-to-property relationships similar ones. To demonstrate method, pericarp orange, member citrus family for its protective, energy-absorbing capabilities studied. Polymer samples characterized under quasistatic dynamic compression display spatially-varying stiffness absorption, seen materials. By quantifying which locally deform response loading, determined how spatially control

Язык: Английский

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Mechanics of Topological High-Entropy Structures Made Out of ‘Einstein’ Puzzle Pieces

Опубликована: Июль 19, 2024

People have always hoped to be able fill an entire plane with ``single unit cells'' without periodicity. This wish was realized after the mathematician discovered a 13-sided cell'' named `einstein'. These non-periodic tessellations generally exhibit anisotropic properties, making them superior in terms of mechanical performance compared periodic structures. From perspective information entropy, reason behind improved properties these structures is higher entropy associated configurations. To quantify disorder structures, we propose expression for `einstein' metamaterial. demonstrate high-entropy fabricate specimens using 3D printing and conducte experiments. For comparative analysis, also use ABAQUS perform finite element analysis problem. The research results reveal that created by stacking cells are significantly those low-entropy stacking. conclusions drawn from study individual issues generalizable may assistance future material structural design. \end{abstract}

Язык: Английский

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Hat Monotiles: Driving Innovation in Aperiodic Pattern Generation and Application

Nexus Network Journal, Год журнала: 2024, Номер unknown

Опубликована: Авг. 12, 2024

Язык: Английский

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Imperfection-insensitive flexible random network materials with horseshoe microstructures

Journal of the Mechanics and Physics of Solids, Год журнала: 2024, Номер unknown, С. 105968 - 105968

Опубликована: Ноя. 1, 2024

Язык: Английский

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Four game-changing researchers in materials science

Nature, Год журнала: 2024, Номер 636(8042), С. S11 - S14

Опубликована: Дек. 11, 2024

Язык: Английский

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