All you need is a microwave and, well, chocolate (a large bar).
Here’s how it works.
2/ Microwave creates standing wave inside the chamber.
That’s how your food heats up.
The microwave radiation inside the oven has points of electromagnetic radiation that oscillate the most. Those are called anti nodes.
The ones that don’t oscillate (in red) are called nodes.
3/ When you put chocolate (or anything else that can melt, like cheese gratings) and remote the rotator inside the microwave, the places where antibode points strike on chocolate melt faster than others.
4/ Keep the chocolate inside the microwave for 20 seconds (don’t forget to remote the rotator; you want a static unrotating plate inside it).
The you measure the distance between such melted points and you get the wavelength of the microwave radiation inside the oven.
5/ Most ovens work at 2.45 giga hertz (it’s also written behind your microwave).
So you have both frequency and wavelength, calculating speed is then simple arithmetic.
6/ By the way, the reason food warms up at anti nodes is because electromagnetic radiation fluctuates at those points and as it fluctuates the water molecules (that have a dipole) get pushed and pulled with it, creating friction and thus heat.
7/ Thats it!
I’m trying to do as many science experiments as I can get my hands on.
If you know other such cool experiments, let me know in replies.
Someone really ought to write a science experiments book for adults. (Most are for kids and not so interesting)
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Kicked off the 2nd batch of Turing’s Dream, the AI residency that I run in Bangalore!
Here’s what they’re upto…
1/ Adithya S Kolavi @adithya_s_k is a 4th year engineering student at PES.
In 2024, he set a target to achieve 10k stars across his github repositories
His most famous one is Omniparse and has 5.5k stars, it's a library that converts unstructured data into structured data for LLMs github.com/adithya-s-k/om…
@adithya_s_k 2/ Arjun Balaji @kaizen797 - 4th year engineering.
He's working with UPI team to detect money laundering using graph NNs. (it has trillion edges, so fun problem!)
He's also working with a Harvard team to map MRI images over time to 3D space to see how brain structures change!
Turing’s Dream first batch - who is in it and what they’re upto.
🧵
1/ Praveen Chavali - @praveen_chavali is exploring the math of neural networks, and is trying to build a black box optimization method for compressing large models into smaller models.
At yesterday’s tech deep dive, he showed why GANs never converge.
@praveen_chavali 2/ Mehul Goyal - @observerforever is a former hedge fund guy who is now exploring how to model time series data using deep networks.
Yesterday, he explained the problem formulation of predicting sharpe ratio via a reinforcement learning kind of a setup.
1/ I love thinking about thinking. Give me a research paper on rationality, cognitive biases or mental models, and I’ll gobble it up.
Given the amount of knowledge I’ve ingested on these topics, I had always assumed that I’m a clear thinker.
2/ Recently, though, it hit me like a lightning strike that this belief is counter-productive.
That’s because is you “know” that you’re a clear thinker, you’re less likely to suspect that you might be missing something big in your thought process.