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The aim of the Physics Inspired Machine Learning (PhIMal) Lab is to use tools from data-science and machine learning to leverage the discovery of physical models from experimental biophysical data. Our team is based at CRI Research in Paris.
First paper on model selection with neural networks is out on arXiv,
and an example of the method is described in this blog
Other news:
Polymerization drives membrane deformation published in Nature Physics:
Buckling and wrinkling of actin coated vesicles
published in Soft Matter
Mechanics and growth act together to form localized structures in elastic struts Proc. Roy. Soc. A
Myosin 1b forces regulate actin depolymerization
Nature Comm.
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