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class definitions and methods for kirchhoff graphs

hyrdrodynamics methods for kirchhoff graphs

This repository contains source codes and notebook demos for trainin STENCIL-NET.

Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021

PDE inference from limited spatio-temporal data

Hexagonal spring network with pores are stretched. The resulting stress profile is analyzed. The aim is to verify the hypothesis that in the Zebrafish optic cup, ECM with more pores are under more stress than ECM with less pores.

This is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.

Scripts written for the paper: "Asymmetric neurogenic commitment of retinal progenitors involves Notch through the endocytic pathway"

Generate MFQL files automagically

Small scripts and bits for data processing interoperability with the cluster

resolution slope calculator for Lipid xplorer

Henricks script as Python