Model discovery in physics and biology with neural networks
Using neural networks to automatically extract the differential equations underlying a data-set
Growth and transport in the dynamical cytoskeleton
Growth and transport in the dynamical cytoskeleton
Deep learning model discovery for viscoelastic materials
To use training of neural networks to discover the differential equations governing the stress and strain responses of uncharacterised viscoelastic materials.
Inferring antibiotic dose-response functions with deep learning
To automate the diagnosis of antibiotic resistance in bacteria.
