@article{TEXTUAL,
      recid = {12245},
      author = {Shen, Meng and Reyes-Martinez, Marcos A. and Powell,  Louise Ahure and Iadicola, Mark A. and Sharma, Abhishek and  Byléhn, Fabian and Pashine, Nidhi and Chan, Edwin P. and  Soles, Christopher L. and Jaeger, Heinrich M. and de Pablo,  Juan J.},
      title = {An autonomous design algorithm to experimentally realize  three-dimensionally isotropic auxetic network structures  without compromising density},
      journal = {npj Computational Materials},
      address = {2024-05-29},
      number = {TEXTUAL},
      abstract = {Auxetic materials have a negative Poisson’s ratio and are  of significant interest in applications that include impact  mitigation, membrane separations and biomedical  engineering. While there are numerous examples of  structured materials that exhibit auxetic behavior, the  examples of engineered auxetic structures is largely  limited to periodic lattice structures that are limited to  directional or anisotropic auxetic response. Structures  that exhibit a three-dimensionally isotropic auxetic  response have been, unfortunately, slow to evolve. Here we  introduce an inverse design algorithm based on global node  optimization to design three-dimensional auxetic  metamaterial structures from disordered networks. After  specifying the target Poisson’s ratio for a structure, an  inverse design algorithm is used to adjust the positions of  all nodes in a disordered network structure until the  desired mechanical response is achieved. The proposed  algorithm allows independent control of shear and bulk  moduli, while preserving the density and connectivity of  the networks. When the angle bending stiffness in the  network is kept low, it is possible to realize optimized  structures with a Poisson’s ratios as low as −0.6. During  the optimization, the bulk modulus of these networks  decreases by almost two orders of magnitude, but the shear  modulus remains largely unaltered. The materials designed  in this manner are fabricated by dual-material 3D-printing,  and are found to exhibit the mechanical responses that were  originally encoded in the computational design engine. The  approach proposed here provides a materials-by-design  platform that could be extended for engineering of optical,  acoustic, and electrical properties, beyond the design of  auxetic metamaterials.},
      url = {http://knowledge.uchicago.edu/record/12245},
}