Steve Mould: Bizarre traveling flame discovery at https://www.youtube.com/watch?v=SqhXQUzVMlQ About 1974/1975 I wss at the University of Texas at Austin. Ilya Prigogine was there with his group and they were studying chemical clocks, and chemical oscillators. Now Prigogine got his Nobel prize in 1977 for a range of things with names like “dissipative structures”, “systems far
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In the Terminator series, there is a scene just as Skynet takes over, where some flying drones, that for some reason have machine guns, attack them. For some reason your picture reminded me of that. I asked Microsoft Bing CoPilot about that scene, and it excitedly said it was very familiar with those scenes and
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Yohan J. John @DrYohanJohn “I like to build universes that do fall apart. I like to see them come unglued, and I like to see how the characters in the novels cope with this problem.” – Philip K Dick https://burningshore.com/p/pkds-divine-interference Yohan, The human species now needs precise digital simulations of all things, so machines explore
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H C Verma Course: HC Verma-Magnetic field a consequence of relativity in hindi at https://www.youtube.com/watch?v=SMHbdyJDL1I New: This is a good result, but it needs to be in the computer as an engineering model. Not long algebra on a blackboard. Old: H C Verma, You are perpetuating a population of humans in a country that relies only
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Dearest Readers, I have had hundreds of conversations like this with GPT 4 at OpenAI. It cannot or will not remember what I say from conversation to conversation, so I have to trick it into “getting in the grove”. I know these subjects well, since starting electrodynamics more than 50 years ago. But I am
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Cool Worlds Podcast: #4 Hod Lipson – Automated Physics Discovery, ChatGPT, Future of AI at https://www.youtube.com/watch?v=KT7gAYmnOhI Hod Lipson, If you take a time series and its first and second differences, the systems where “velocity” and “acceleration” work are the ones where the second difference, “acceleration” is normally distributed. For 25 years, I have checked all the
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Prasad Raju, I suggest you use online resources to look at the data. There is a lot of seismometer and magnetometer data. There is meteorological data. If you just want sources of interesting signals, there is some good solar data (solar dynamics observatory), data from lots of astronomical and astrophysical surveys. Radio telescope data
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https://www.cadence.com/en_US/home/tools/system-analysis/computational-fluid-dynamics/pre-processing-meshing.html Is there an “intro to Cadence computational fluid dynamics” that tells the hardware requirements as a function of mesh size, time step size, precision? I wanted to teach basic properties of vertical flight through the atmosphere up to orbital velocities. I wanted to start with classical shapes, then add more complexity. Then let the
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BrainTruffle: Fluid dynamics feels natural once you start with quantum mechanics at https://www.youtube.com/watch?v=MXs_vkc8hpY BrainTruffle, You need to use real measurements, on real systems, to match your different simulation strategies to real things. You are guessing by eyeball. You can get massive amounts of data from a number of places, or your own experiments. A billion
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Paul M Sutter: The Most Important Idea in Physics: The Principle of Least Action – Ask a Spaceman! at https://www.youtube.com/watch?v=UuqpCBZoX3M You say mostly the right words, but mathematics is powerful when you share the equations and methods and diagrams and geometry. Physics and engineering are powerful when you share the diagrams, equations, data and real examples.
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