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Geometry-driven self-organisation in active living matter

CORDIS · observation · Publication date unknown

geometry generates functional behaviours, such as autonomous object avoidance or embryo self-organisation (WP3). Lastly, we will leverage the visual accessibility of geometrical features to probe how machine learning approaches infer geometry-driven states and transitions from images, and to test our information theoretical predictions on shape sensing (WP4). GOAL will likely lead to the discovery of universal principles for shape-adaptive matter, because the nonlinear dependencies that arise from geometrical relations express fundamental mathematical properties of space that hold across all scales and contexts. physical information processing, anisotropic living matter

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recordType
award
status
SIGNED
region
EU
value
1473000
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.