Computational Chemistry 3.11 - Metropolis Monte Carlo

Short lecture the Metropolis Monte Carlo algorithm for molecular properties.
Monte Carlo methods can approximate molecular properties, but is highly inefficient, as the number of points necessary becomes enormous very quickly. Metropolis Monte Carlo improves this by rejecting very high energy structures, and focusing the simulation towards structures which contribute strongly to the partition function.
Notes Slide: i.imgur.com/WvD...
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[@Clark_Kent_ZA]

Thank you for your video. What's funny is that I chose to become a Microbiologist/Virologist to avoid math and chemistry. Only to do a PhD where I am modelling proteins which requires math and chemistry. Your videos have made this a topic that is much easier to approach

[@CrushOfSiel]

Great video, thank you. I read Frenkel's book that covers this topic, a few bits were hard to follow. Now I feel I have a pretty good foundation to start with. I'm sure some questions about this will come up when I take my comprehensive exams in a few months.

[@RevRun14]

Just got to this in the graduate course that I'm taking. As always, your video is clear, simple, and wonderful to learn from. Thank you for making these!

[@TMPChem]

Thanks for watching.

[@RevRun14]

You're welcome! Thank you for making them!

[@yechannoh4183]

I really appreciate your work on various lectures on computational physics (chem). I would like to be a lecturer like you someday!

[@TMPChem]

Thanks! Good luck. All it takes is the drive and initiative to go do it and keep getting better.