Optimally‐Tailored Spinodal Architected Materials for Multiscale Design and Manufacturing (Adv. Mater. 26/2022)

Senhora, Fernando V.; Sanders, Emily D.; Paulino, Glaucio H.

doi:10.1002/adma.202270192

Cited by 5 publications

(6 citation statements)

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“…[ 90 ] Senhora et al. [ 306 ] simplified the design of spinodal materials by focusing on selected symmetric types of candidate spinodal architected materials, extending to accommodate various complex 3D designs (Figure 21(g)).…”

Section: Data‐driven Multiscale Metamaterials System Designmentioning

confidence: 99%

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Lee,

Chen,

Wang

et al. 2023

Advanced Materials

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Metamaterials are artificial materials designed to exhibit effective material parameters that go beyond those found in nature. Composed of unit cells with rich designability that are assembled into multiscale systems, they hold great promise for realizing next‐generation devices with exceptional, often exotic, functionalities. However, the vast design space and intricate structure–property relationships pose significant challenges in their design. A compelling paradigm that could bring the full potential of metamaterials to fruition is emerging: data‐driven design. This review provides a holistic overview of this rapidly evolving field, emphasizing the general methodology instead of specific domains and deployment contexts. Existing research is organized into data‐driven modules, encompassing data acquisition, machine learning‐based unit cell design, and data‐driven multiscale optimization. The approaches are further categorized within each module based on shared principles, analyze and compare strengths and applicability, explore connections between different modules, and identify open research questions and opportunities.

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Section: Data‐driven Multiscale Metamaterials System Designmentioning

confidence: 99%

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Lee,

Chen,

Wang

et al. 2023

Advanced Materials

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“…By integrating parameterized smoothing in each iteration of TO, we can simultaneously optimize the macro‐scale properties layout and micro‐scale smoothed connection of different cellular materials. Compared to the similar multi‐scale TO work, [ 30 ] we treat smoothing as a part of optimization instead of post‐processing after optimization.…”

Section: Introductionmentioning

confidence: 99%

Implicitly Represented Architected Materials for Multi‐Scale Design and High‐Resolution Additive Manufacturing

Rastegarzadeh

Wang

Huang

2023

Adv Materials Technologies

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Bio‐inspired structured materials have achieved unprecedented progress in realizing exceptional, effective properties. However, a rational design paradigm that enables both tailoring complex 3D architectures and manufacturing the engineered hierarchical structured materials is still missing. To bridge this gap, this study presents a holistic design‐through‐printing framework with implicitly represents cellular materials for high‐resolution structured materials design and manufacturing. Attributed to the parameterized implicit function‐based representation (FRep), the material's microstructures can be effectively controlled to tune the material properties (e.g., isotropic, orthotropic, and anisotropic) while enabling functional gradation in the multi‐scale hierarchical design. Given prescribed material properties in different applications, the proposed framework finds the optimal layout of microstructures with an adaptive cluster‐based topology optimization algorithm. The geometry frustration problem brought by the mixture of distinct microstructures is simultaneously addressed with a spatial gradation scheme in the optimization loop. Lastly, the FRep‐based architected material enables efficient geometry processing (e.g., slicing) for modern AM processes, thus facilitating the manufacturing of high‐resolution delicate designed materials. The proposed framework is scalable and adaptable to accomplish a broad spectrum of design demands in various applications.

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“…T hree-dimensional (3D) cellular microstructures are ubiquitous in living organisms, where they play diverse, irreplaceable roles in 3D shape formation (1)(2)(3)(4), synthesis and transport of nutrients (5,6), and regulation of growth and reproduction (7,8). For example, the nonuniformly distributed cellular microstructures in the Physalis philadelphica berry and the Silene vulgaris flower, which form closed cages, offer a sufficient stiffness to support their oval calyx sacs (Fig.…”

mentioning

confidence: 99%

“…Because of the high surface areas, large pore volumes, and excellent mechanical and thermal properties of cellular structures, cellular designs have been exploited in the development of materials and functional systems (9,10). Examples include lattice materials and foams with high specific stiffness, specific strength, and impact resistance (3,(11)(12)(13)(14)(15); porous elec-trodes with small ion diffusion distances and large percentages of active materials for highpower lithium ion batteries (16,17); artificial tissues and organs with hierarchical vascularized networks capable of oxygen and nutrient supply and waste removal (5,6,18); electromagnetic metamaterials capable of blocking, absorbing, enhancing, or bending electromagnetic waves (19); and metal-organic frameworks for watersplitting and oxygen-reduction reactions (20).…”

mentioning

confidence: 99%

Programming 3D curved mesosurfaces using microlattice designs

Fan

Yao

et al. 2023

Science

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Cellular microstructures form naturally in many living organisms (e.g., flowers and leaves) to provide vital functions in synthesis, transport of nutrients, and regulation of growth. Although heterogeneous cellular microstructures are believed to play pivotal roles in their three-dimensional (3D) shape formation, programming 3D curved mesosurfaces with cellular designs remains elusive in man-made systems. We report a rational microlattice design that allows transformation of 2D films into programmable 3D curved mesosurfaces through mechanically guided assembly. Analytical modeling and a machine learning–based computational approach serve as the basis for shape programming and determine the heterogeneous 2D microlattice patterns required for target 3D curved surfaces. About 30 geometries are presented, including both regular and biological mesosurfaces. Demonstrations include a conformable cardiac electronic device, a stingray-like dual mode actuator, and a 3D electronic cell scaffold.

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Optimally‐Tailored Spinodal Architected Materials for Multiscale Design and Manufacturing (Adv. Mater. 26/2022)

Cited by 5 publications

References 0 publications

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Data‐Driven Design for Metamaterials and Multiscale Systems: A Review

Implicitly Represented Architected Materials for Multi‐Scale Design and High‐Resolution Additive Manufacturing

Programming 3D curved mesosurfaces using microlattice designs

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