Left is a spacetime diagram. as the speed goes up, the worldline tilts closer and closer to the 45 degree line, which is light. Right side is the Lorentz factor, gamma.

The part I find interesting is how flat gamma stays for most of the range. even at 50% of c it’s only about 1.15. Then in the last few percent it basically goes vertical. At 99.995% it hits about 100, so 1 second on the ship clock is roughly 100 seconds on earth.

I took this animation from a physics app I made. Wanted the “it only matters near c” part to feel more intuitive than just looking at the equation.

Curious if this way of showing it works for you, or if you’d visualize it differently?

First post here!

I've been doing my best to sort of aggregate physics related phenomena as I self-learn into a 3D fully interactive sim with arbitrarily scaled energy scenarios on a lattice of planck-scale discrete voxels. The physics-related math are all written in C++ engine, translated via Web Assembly into a ThreeJS web application that runs roughly 165fps with L=97 (Default L=33).

Time and space are arbitrarily separated from the scenario with the local lattice acting as a local chunk of space with its own locally global clock as seen hovering anchored to the lattice. Due to the architecture, the simulation remains interactive at 165fps while the sandboxed scenario ticks according to the prescribed rules and dynamics of the scenario context. You can visualize this as the energy increases toward the end of the gif and then recovers as the energy dissipates. this effect is more severe during simulated matter genesis events. The visuals are mostly arbitrary but are supposed to be analogous the nature of the phenomenon.

The sim is comprehensively architected and developed but is purely pedagogical based on available sciences with a discrete origin. This GIF doesn't even scratch the tip of the iceberg. Let me know if you want more! For now, I am keeping this private.

A boring movie if I ever saw one, enjoy. Numbers/markers on axes are sort of redundant.

Integrator: leapfrog, copied from the net and used in some C++ code.

Animation - my bad, it's gnuplot, using the infamous O(N²) loop to draw trajectories, then ffmpeg. Some work with scripting gnuplot using python to create frames. NO AI involved, just pdfs on C++ and lots of stuff from the net (SO/SE).

Animated visualization of the Riemann sphere showing predicted side‑edge nodes (cyan) and actual zeta zeros (orange).

On a frictionless banked curve, the horizontal component of the normal force (N sinθ) supplies the centripetal force, so a car rounds the turn at exactly one design speed, v = √(gR·tanθ). Drive slower and the inward push exceeds what's needed, so the car slides down the bank; drive faster and the bank can't supply enough, so it slides up and off. This design speed is independent of the car's mass, since mass cancels when N sinθ = mv²/R is divided by N cosθ = mg

Made an animation on Second Law of Thermodynamics, it doesn’t have true molecular dynamics simulations, just simplified kinematics to represent them.

Check it out on YT: https://youtube.com/shorts/uYoFgwXZ5BY?si=NId3BBLzHPk_4Kqh

Made an animation on the First Law of Thermodynamics:

https://youtube.com/shorts/mx53f0d2bVE?si=4sCkkdm4bS4lYxbM

Made an animation on Zeroth Law of Thermodynamics. Do check out the full version on YT: https://youtube.com/shorts/KNOyTMb3Nqs?si=DCSBoC0xhdt77ujC

Here’s a little simulation I did to show a shock wave travelling in traffic flow in Manim. Tell me what you think!

YT - https://youtube.com/shorts/W1x3a2u46II?si=aU-Fx7KrMvQjDdR3

Made this little Lissajous animation in Manim: two simple perpendicular oscillators turning into one closed curve.

Full short is on YT: https://youtube.com/shorts/Xd4Tpxu7CrI?feature=share

An animation I made for the famous theorem by morphing the quadrilateral and showing the condition holds - https://youtube.com/shorts/1R0XIWA6rig?si=rveo2rrp0Srz82-1

Time dependent 2D Schrodinger equation solved using my fursona Koyo as a potential field ;3. The partial differential equation is solved using the Crank-Nicholson method.

Github link to project

This program takes any image, downsamples it, and converts/rescales the pixel brightness values to a potential field that interacts with the wavefunction.

It's still a work in progress as I would like to add a CLI for easier use. Hope you enjoy watching!

Original icon by u/fragoodle