Abstract
Predictive materials modeling has become a potent and accessible design tool to direct and support experiments in supramolecular nanotechnology as a result of the continuous expansion of high-performance computing power, theory, and modeling software development. In this chapter, we examine how logically created organic assemblies may incorporate electromechanical features, particularly piezoelectricity. We discuss the challenges and benefits of designing sustainable materials using basic, low-cost biopiezoelectric building blocks. The created nanostructured bio-assemblies provide interesting material options for emerging technologies, such as Internet of Things, human-machine interfacing, and brain-inspired computing.
| Original language | English |
|---|---|
| Title of host publication | Supramolecular Nanotechnology |
| Subtitle of host publication | Advanced Design of Self-Assembled Functional Materials: Volumes 1-3 |
| Publisher | Wiley and Sons ISTE Ltd |
| Pages | 245-269 |
| Number of pages | 25 |
| Volume | 1 |
| ISBN (Electronic) | 9783527834044 |
| ISBN (Print) | 9783527351305 |
| DOIs | |
| Publication status | Published - 1 Jan 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
Keywords
- Adaptable materials
- Bio‐inspired materials
- Energy efficient electronics
- Green energy
- Molecular crystals
- Predictive materials modeling
- Supramolecular packing
- Sustainable materials
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