Mechanical metamaterials and beyond
Mechanical metamaterials enable the creation of structural materials with unprecedented
mechanical properties. However, thus far, research on mechanical metamaterials has …
mechanical properties. However, thus far, research on mechanical metamaterials has …
Deep learning in mechanical metamaterials: from prediction and generation to inverse design
Mechanical metamaterials are meticulously designed structures with exceptional
mechanical properties determined by their microstructures and constituent materials …
mechanical properties determined by their microstructures and constituent materials …
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
The rise of machine learning has fueled the discovery of new materials and, especially,
metamaterials—truss lattices being their most prominent class. While their tailorable …
metamaterials—truss lattices being their most prominent class. While their tailorable …
Target‐Driven Design of Deep‐UV Nonlinear Optical Materials via Interpretable Machine Learning
The development of a data‐driven science paradigm is greatly revolutionizing the process of
materials discovery. Particularly, exploring novel nonlinear optical (NLO) materials with the …
materials discovery. Particularly, exploring novel nonlinear optical (NLO) materials with the …
Micro‐Scale Mechanical Metamaterial with a Controllable Transition in the Poisson's Ratio and Band Gap Formation
The ability to significantly change the mechanical and wave propagation properties of a
structure without rebuilding it is currently one of the main challenges in the field of …
structure without rebuilding it is currently one of the main challenges in the field of …
Recent advances and applications of machine learning in experimental solid mechanics: A review
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …
and understanding the mechanical properties of natural and novel artificial materials …
Breaking the tradeoffs between different mechanical properties in bioinspired hierarchical lattice metamaterials
It is a long‐standing challenge to break the tradeoffs between different mechanical property
indicators such as the strength versus toughness in the design of lightweight lattice …
indicators such as the strength versus toughness in the design of lightweight lattice …
Automated discovery of reprogrammable nonlinear dynamic metamaterials
Harnessing the rich nonlinear dynamics of highly deformable materials has the potential to
unlock the next generation of functional smart materials and devices. However, unlocking …
unlock the next generation of functional smart materials and devices. However, unlocking …
Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
Shape transformations of active composites (ACs) depend on the spatial distribution of
constituent materials. Voxel-level complex material distributions can be encoded by 3D …
constituent materials. Voxel-level complex material distributions can be encoded by 3D …
Shape memory mechanical metamaterials
Shape memory materials can maintain temporary shapes without external constraints and
revert to their permanent shape upon exposure to an external stimulus, such as heat, light …
revert to their permanent shape upon exposure to an external stimulus, such as heat, light …