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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Zhigang Suo @zhigangsuo 23h The new book by @LallitAnand, Ken Kamrin, @SGovindjee arrived today. The authors state that the book is for a course for undergraduate juniors and seniors. Topics include Elasticity Plasticity & creep Fracture & fatigue Viscoelasticity Rubber elasticity https://pic.twitter.com/mWhbXpAVKy Replying to @zhigangsuo @LallitAnand and @SGovindjee Now make it into an online toolkit
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Real Capacitors at https://www.youtube.com/watch?v=hlmPFbHTHTw Sabrina Koffler, You could easily have shown the behavior of a few “real” capacitors as a function of frequency. And added a variable resistance and inductance to show the effects of changing those. Design, testing, measurement is all about numbers, data collection. More and more that also means models, algorithms, comparison between
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The Internet, even on Twitter, is for everyone. Every person in the world should have access to global tools, data, models. Always include the open link. If APS cannot stay in business otherwise, tell me why. Nice paper, needs shared symbolic simulator. https://arxiv.org/abs/2106.13817 Collective effects on the performance and stability of quantum heat engines
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@Sony Sony donated an Alpha 7S for a live webcam at Maunakea Subaru Telescope. Could Sony also help promote better Internet standards for lossless video? Look at these poor star pixels. Live stars need lossless formats. Global sharing for science data. https://www.youtube.com/watch?v=eH90mZnmgD4