The Feynman lectures on physics online in HTML5

Description from the website:

Caltech and The Feynman Lectures Website are pleased to present this online edition of The Feynman Lectures on Physics. Now, anyone with internet access and a web browser can enjoy reading a high-quality up-to-date copy of Feynman's legendary lectures. This edition has been designed for ease of reading on devices of any size or shape; text, figures and equations can all be zoomed without degradation.

The equations worked fine for me, just remember to have JavaScript on. Only the first volume is online yet, they hope to add the rest later; plenty of physics to wade through already, though :) Via Open Culture.

These would make an excellent accompaniment to the audio lectures, which are available via Amazon (and other means). I'd bet the combo beats any modern physics MOOC, and many university basic physics courses.


Been quite busy settling into Vienna, hopefully will have time to update the blog a bit more often in the near future. Coming up: part four of the Postdoc in Vienna series: settling in.

Visualizing the scale of the universe

[youtube http://www.youtube.com/watch?v=17jymDn0W6U] The reality probed by physics spans an immense range of scales from the Planck length at the bottom end of the subatomic realm, to the edge of the observable universe at the top end of the cosmic scale. Getting a grip on such measures can be very difficult, even for scientists. Good visualizations definitely help, and are fascinating in their own right.

Powers of Ten is of course the most well known classic, and it also has a modern interface. But there are a bunch of alternatives, each with their slightly unique take. Scale of the Universe 2 is based on the same idea, as is Nikon's Universcale.  Chronozoom is a newcomer still in beta that visualizes the depths of time instead of space.

One of my own favorites (shown above) is the Digital Universe Atlas by the American Museum of Natural History, since it is as closely based on real measured data as possible. Parenthetically, some researchers are using AI techniques to help chart and make sense of the large-scale data.

Did I miss your favorite?