Welcome to tessellate.science
Tessellate Data Science aims to blend scientific paradigms with a social purpose. We value innovation and equitable access to these innovations. We want to be courageous and push the status quo. We are a digital-first company.
More things we're doing
Under the microscope: Building a distributed 'supercomputer'
This physical tutorial gives you a scheme for building your very own computer 'cluster', allowing you to help with computational science such as Folding@home.
Under the microscope: Computational Fluid Dynamic simulations using OpenFOAM
This CFD tutorial gives you an introduction to: a) simulating a simpler fluid motion scenario using OpenFOAM, while b) allowing an easily reproducible research environment using Docker.
Under the microscope: Molecular Simulations using OpenMM
Folding@home uses software developed as part of OpenMM, code that allows molecular dynamics to be simulated. This tutorial gives you an introduction to: a) simulating simpler 'protein folding' using OpenMM, and b) containerising your software application using Docker.
Computing Folding@home efficiently
After thinking about efficiently computing for Folding@home, we decided to change the setup of our GPU from it's default state.
Research using Computational Fluid Dynamics into airflow with suspended particles
Tessellate Data Science uses CFD to investigate the motion of flow of air with particles dispersed in this fluid, with an interest in applying these insights to atypical (non-engineering) realms such as preventative medicine.
Investigating brainwaves using a low-cost Brain-Computer Interface (and some Python programming)
Investigation of neurological activity has possible applications in preventing neurological diseases along with management of neurological conditions. Recent advancement of brain-computer interfaces has allowed experimentation by a larger number of people outside research organisations.
Computational science research into 'protein folding'
Tessellate Data Science supports 'protein folding' research via Folding@home. This computational approach uses mathematical descriptions and numerical methods, to be able to run investigations. With folding, 3-dimensional structures (and also the evolution) of building-blocks of life are explored.
What we're into
Welcome to Tessellate Data Science, a socially-oriented enterprise thing that's just getting started. More things will be up and running shortly, but in the mean time you can read what we're interested in on this website.