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Perspective: machine learning in design for 3D/4D printing
Abstract 3D/4D printing offers significant flexibility in manufacturing complex structures with
a diverse range of mechanical responses, while also posing critical needs in tackling …
a diverse range of mechanical responses, while also posing critical needs in tackling …
Inverse design of 3D cellular materials with physics-guided machine learning
M Abu-Mualla, J Huang - Materials & Design, 2023 - Elsevier
This paper investigates the feasibility of data-driven methods in automating the engineering
design process, specifically studying inverse design of cellular mechanical metamaterials …
design process, specifically studying inverse design of cellular mechanical metamaterials …
[HTML][HTML] Micromechanics-based deep-learning for composites: Challenges and future perspectives
M Mirkhalaf, I Rocha - European Journal of Mechanics-A/Solids, 2024 - Elsevier
During the last few decades, industries such as aerospace and wind energy (among others)
have been remarkably influenced by the introduction of high-performance composites. One …
have been remarkably influenced by the introduction of high-performance composites. One …
[HTML][HTML] A novel bio-inspired design method for porous structures: Variable-periodic Voronoi tessellation
Z Li, S Chu, Z Wu - Materials & Design, 2024 - Elsevier
This paper introduces a novel approach, namely Variable-Periodic Voronoi Tessellation
(VPVT), for the bio-inspired design of porous structures. The method utilizes distributed …
(VPVT), for the bio-inspired design of porous structures. The method utilizes distributed …
Uncertainty quantification of microstructures: a perspective on forward and inverse problems for mechanical properties of aerospace materials
MM Billah, M Elleithy, W Khan, S Yıldız… - Advanced …, 2025 - Wiley Online Library
In this review, state‐of‐the‐art studies on the uncertainty quantification (UQ) of
microstructures in aerospace materials is examined, addressing both forward and inverse …
microstructures in aerospace materials is examined, addressing both forward and inverse …
Dual-band topological states in actively convertible metamaterials with parallel platforms
LF Cui, YZ Wang - International Journal of Solids and Structures, 2023 - Elsevier
Topological propagation in elastic wave metamaterials is widely investigated due to the
superior transmission performance but most studies are focused on a single frequency …
superior transmission performance but most studies are focused on a single frequency …
[HTML][HTML] Experiment-informed finite-strain inverse design of spinodal metamaterials
P Thakolkaran, M Espinal, S Dhulipala, S Kumar… - Extreme Mechanics …, 2025 - Elsevier
Spinodal metamaterials, with architectures inspired by natural phase-separation processes,
have presented a significant alternative to periodic and symmetric morphologies when …
have presented a significant alternative to periodic and symmetric morphologies when …
Inverse design of irregular architected materials with programmable stiffness based on deep learning
Z Wei, K Wei, X Yang - Composite Structures, 2024 - Elsevier
Incorporating biological materials-inspired irregularity into architected materials is potential
to unfold a wider property or new function space, while the inverse design of irregular …
to unfold a wider property or new function space, while the inverse design of irregular …
Inverse designing surface curvatures by deep learning
Smooth and curved microstructural topologies found in nature—from soap films to trabecular
bone—have inspired several mimetic design spaces for architected metamaterials and bio …
bone—have inspired several mimetic design spaces for architected metamaterials and bio …
Inverse design of spinodoid structures using Bayesian optimization
Tailoring materials to achieve a desired behavior in specific applications is of significant
scientific and industrial interest as design of materials is a key driver to innovation …
scientific and industrial interest as design of materials is a key driver to innovation …