Active matter logic for autonomous microfluidics
Chemically or optically powered active matter plays an increasingly important role in materials design, but its computational potential has yet to be explored systematically. The competition between energy consumption and dissipation imposes stringent physical constraints on the information transpor...
| Main Authors: | , |
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| Format: | Journal article |
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Springer Nature
2017
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| _version_ | 1826264830161453056 |
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| author | Woodhouse, F Dunkel, J |
| author_facet | Woodhouse, F Dunkel, J |
| author_sort | Woodhouse, F |
| collection | OXFORD |
| description | Chemically or optically powered active matter plays an increasingly important role in materials design, but its computational potential has yet to be explored systematically. The competition between energy consumption and dissipation imposes stringent physical constraints on the information transport in active flow networks, facilitating global optimization strategies that are not well understood. Here, we combine insights from recent microbial experiments with concepts from lattice-field theory and non-equilibrium statistical mechanics to introduce a generic theoretical framework for active matter logic. Highlighting conceptual differences with classical and quantum computation, we demonstrate how the inherent non-locality of incompressible active flow networks can be utilized to construct universal logical operations, Fredkin gates and memory storage in set–reset latches through the synchronized self-organization of many individual network components. Our work lays the conceptual foundation for developing autonomous microfluidic transport devices driven by bacterial fluids, active liquid crystals or chemically engineered motile colloids. |
| first_indexed | 2024-03-06T20:14:09Z |
| format | Journal article |
| id | oxford-uuid:2b953a14-0267-4c94-9066-62222aa72565 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T20:14:09Z |
| publishDate | 2017 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:2b953a14-0267-4c94-9066-62222aa725652022-03-26T12:31:44ZActive matter logic for autonomous microfluidicsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:2b953a14-0267-4c94-9066-62222aa72565Symplectic Elements at OxfordSpringer Nature2017Woodhouse, FDunkel, JChemically or optically powered active matter plays an increasingly important role in materials design, but its computational potential has yet to be explored systematically. The competition between energy consumption and dissipation imposes stringent physical constraints on the information transport in active flow networks, facilitating global optimization strategies that are not well understood. Here, we combine insights from recent microbial experiments with concepts from lattice-field theory and non-equilibrium statistical mechanics to introduce a generic theoretical framework for active matter logic. Highlighting conceptual differences with classical and quantum computation, we demonstrate how the inherent non-locality of incompressible active flow networks can be utilized to construct universal logical operations, Fredkin gates and memory storage in set–reset latches through the synchronized self-organization of many individual network components. Our work lays the conceptual foundation for developing autonomous microfluidic transport devices driven by bacterial fluids, active liquid crystals or chemically engineered motile colloids. |
| spellingShingle | Woodhouse, F Dunkel, J Active matter logic for autonomous microfluidics |
| title | Active matter logic for autonomous microfluidics |
| title_full | Active matter logic for autonomous microfluidics |
| title_fullStr | Active matter logic for autonomous microfluidics |
| title_full_unstemmed | Active matter logic for autonomous microfluidics |
| title_short | Active matter logic for autonomous microfluidics |
| title_sort | active matter logic for autonomous microfluidics |
| work_keys_str_mv | AT woodhousef activematterlogicforautonomousmicrofluidics AT dunkelj activematterlogicforautonomousmicrofluidics |