Physics! Particles! Statistical modelling! Quantum theory! How can non-scientists understand any of it? Well, students from Durham University are here to help you wrap your head around it all – and to our delight, they’re using the power of the Raspberry Pi to do it! At the Royal Society’s Summer Science Exhibition, taking place in London … Continue reading →
Today, a look at a speedy way for students to prototype, test, analyse and deploy sophisticated applications on Raspberry Pi, using industry tools: MathWorks’ MATLAB, a high-level programming environment for visualising and analysing data, computation, mathematical modelling, and algorithm development; and Simulink, which provides a block diagramming environment for modelling and simulating dynamic systems. element14 … Continue reading →
Here’s another guest post from Allison Taylor at Wolfram Research. Today we’re looking at how to build simple physics models using the Wolfram Language. If you’ve taken any introductory physics course, you’ve learned about Newtonian mechanics—conservation of energy and momentum, friction, harmonic motion, and so on. Idealized, classical motion can be broken down into a … Continue reading →