Grasp more from your process, make analytics, focus on what matters.
Grasp more from your process, make analytics, focus on what matters.
This post reviews a classical catalytic reaction kinetic and multiple ways to adjust it to experimental dataset. We will see that modern computer can solve the kinetic symbolically and numerically while old fashion methods also provides good results. Model We…
This post revisits the Michaelis-Menten model.
In this article we show how to symbolically and numerically solve a system of non linear ODE.
In this article we show how KD Tree works and how Voronoi diagram are linked with it by answering a simple question: given a set of reference points (points of interests), find for any point (location) the closet points wrt…
This post shows how to derive Acid/Base Partition functions using analytical chemistry and conversely how to determine pH of a mixture of poly-acid with given initial concentrations and pKa.
This post shows how to solve the Ballistic problem with Drag Force taken into account.
This post shows how to create an animated double pendulum with scipy and matplotlib.
This post shows of to fit an arbitrary number of Lorentzian peaks (Cauchy distribution) using scipy.
This post shows how to adjust statistical distribution on a random sampled dataset and assess precision of regressed parameters. Synthetic dataset We create a synthetic dataset by sampling random values from a Log Normal law: We also create a support…
In this post we show how we can fit simultaneously multiple kinetics from ODE system using the scipy package. That is, we will regress parameters from multiples curves described by a dynamic system at once. To reach that goal, we…