Skip to main content

Neils Bohr and the Quantum Atom – Helge Kragh ***

This is a bit of specialist one. If you don’t have a physics degree, don’t bother to read any further. Neils Bohr and the Quantum Atom is not intended to be popular science (if you want a more approachable book, try Abraham Pais’s Niels Bohr’s Times), but I was very interested to read it as it’s a subject that is close to my heart.
Bohr himself tends to be underrated – he tended to come across rather badly when public speaking, and some of his quasi-philosophical pronouncements on the nature of quantum physics were painfully obscure. But we must not forget the huge contribution he made to kick-starting quantum theory, starting with his key development of the quantum model of the atom.
Although the book does plunge into equations on a number of occasions it is primarily a historical narrative of the development of Bohr’s model of the atom, including a fair amount of biography, from his early thoughts at Manchester in 1912 to its full fruition and subsequent transformation by the new quantum mechanics in the 1920s. I would be lying if I said that reading it wasn’t quite hard work – but if you really want to get a feel for the detailed process of the development of one of the key foundations of twentieth century physics, the book is unparalleled. There is a lot of detail – but this is about real science, not the sanitised version.
Overall, if you are the right reader (and I was), very satisfying.

Hardback 

Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

Rakhat-Bi Abdyssagin Five Way Interview

Rakhat-Bi Abdyssagin (born in 1999) is a distinguished composer, concert pianist, music theorist and researcher. Three of his piano CDs have been released in Germany. He started his undergraduate degree at the age of 13 in Kazakhstan, and having completed three musical doctorates in prominent Italian music institutions at the age of 20, he has mastered advanced composition techniques. In 2024 he completed a PhD in music at the University of St Andrews / Royal Conservatoire of Scotland (researching timbre-texture co-ordinate in avant- garde music), and was awarded The Silver Medal of The Worshipful Company of Musicians, London. He has held visiting affiliations at the Universities of Oxford, Cambridge and UCL, and has been lecturing and giving talks internationally since the age of 13. His latest book is Quantum Mechanics and Avant Garde Music . What links quantum physics and avant-garde music? The entire book is devoted to this question. To put it briefly, there are many different link...

Should we question science?

I was surprised recently by something Simon Singh put on X about Sabine Hossenfelder. I have huge admiration for Simon, but I also have a lot of respect for Sabine. She has written two excellent books and has been helpful to me with a number of physics queries - she also had a really interesting blog, and has now become particularly successful with her science videos. This is where I'm afraid she lost me as audience, as I find video a very unsatisfactory medium to take in information - but I know it has mass appeal. This meant I was concerned by Simon's tweet (or whatever we are supposed to call posts on X) saying 'The Problem With Sabine Hossenfelder: if you are a fan of SH... then this is worth watching.' He was referencing a video from 'Professor Dave Explains' - I'm not familiar with Professor Dave (aka Dave Farina, who apparently isn't a professor, which is perhaps a bit unfortunate for someone calling out fakes), but his videos are popular and he...

Everything is Predictable - Tom Chivers *****

There's a stereotype of computer users: Mac users are creative and cool, while PC users are businesslike and unimaginative. Less well-known is that the world of statistics has an equivalent division. Bayesians are the Mac users of the stats world, where frequentists are the PC people. This book sets out to show why Bayesians are not just cool, but also mostly right. Tom Chivers does an excellent job of giving us some historical background, then dives into two key aspects of the use of statistics. These are in science, where the standard approach is frequentist and Bayes only creeps into a few specific applications, such as the accuracy of medical tests, and in decision theory where Bayes is dominant. If this all sounds very dry and unexciting, it's quite the reverse. I admit, I love probability and statistics, and I am something of a closet Bayesian*), but Chivers' light and entertaining style means that what could have been the mathematical equivalent of debating angels on...