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Reprogrammable allosteric metamaterials from disordered networks.

Nidhi Pashine1, Amir Mohammadi Nasab1, Rebecca Kramer-Bottiglio1

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Researchers developed reprogrammable mechanical metamaterials using variable stiffness bonds. This innovation allows for multiple, on-demand allosteric responses without irreversible bond pruning, advancing tunable material design.

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Network Science

Background:

  • Disordered mechanical metamaterials achieve auxetic and allosteric responses via bond pruning.
  • Traditional bond pruning is irreversible and results in a single, fixed bulk response.

Purpose of the Study:

  • To create metamaterial networks with tunable, reprogrammable allosteric responses.
  • To overcome the limitations of irreversible bond pruning in disordered mechanical networks.

Main Methods:

  • Utilizing material stiffness as a tunable design parameter.
  • Experimentally realizing variable stiffness bonds that can strengthen and weaken on-demand.
  • Strategically softening subsets of bonds in a disordered network.

Main Results:

  • Achieved allosteric responses without the need for bond removal.
  • Demonstrated that different subsets of bonds can be softened to produce distinct bulk responses.
  • Enabled multiple, reprogrammable input/output allosteric responses.

Conclusions:

  • Variable stiffness bonds offer a reversible and tunable approach to achieving allosteric responses in metamaterials.
  • This method allows for dynamic reprogramming of material behavior, enabling diverse functionalities from a single network.