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Updated: Apr 18, 2026

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Preparation of Monodomain Liquid Crystal Elastomers and Liquid Crystal Elastomer Nanocomposites
Published on: February 6, 2016
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Guidance of cellular nematic elastomers into shape-programmable living surfaces
Pau Guillamat1, Waleed Mirza2,3, Pradeep K Bal3
1Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute for Science and Technology (BIST), Barcelona, Spain.
Summary
Researchers engineered living materials that change shape autonomously. By controlling cellular forces and nematic order, they programmed tissues to form specific 3D shapes, advancing synthetic morphogenesis and soft robotics.
Area of Science:
- Biomaterials Engineering
- Soft Robotics
- Synthetic Biology
Background:
- Engineering living materials for autonomous shape change is key for synthetic morphogenesis and soft robotics.
- Harnessing cellular self-organization and force generation is a promising approach.
- Controlling tissue mechanics to direct morphogenesis remains a significant challenge.
Purpose of the Study:
- To introduce a strategy for programming tissue-shape transformations using nematic organization of cellular forces.
- To demonstrate control over tissue mechanics via nematic order and topological defects.
- To establish a framework for designing shape-programmable living surfaces.
Main Methods:
- Programming tissue-shape transformations through nematic organization of cellular forces.
- Controlling nematic order and topological defects to generate specific stress fields.
- Utilizing a theoretical framework coupling contractile nematics with thin-sheet mechanics.
Main Results:
- Nematically guided active stresses can drive morphogenesis through Gaussian morphing.
- Detachment of nematic tissues triggers reproducible out-of-plane deformations.
- Generated reproducible three-dimensional shapes from engineered living materials.
Conclusions:
- The developed strategy enables programming of tissue-shape transformations.
- The approach integrates contractility and nematic patterning for shape control.
- This work establishes a framework for designing shape-programmable living surfaces.

