পরবর্তী
Simulating and understanding phase change | Guest video by Vilas Winstein 42 মিনিট 
PAW Patrol Royalty Rescues & Adventures! w/ Sweetie 👑 90 Minutes | Nick Jr. 90 মিনিট 
It’s just a little cold 🥶😂 3 মিনিট 
Xbox CEO Teases a 'Family' of Project Helix Devices - IGN Daily Fix 3 মিনিট 
The Carl Higdon Abduction | An Alien Scours the Galaxy for Food 33 মিনিট 
The Amazing Animal Kingdom Of Madagascar | BBC Earth 37 মিনিট 
X-Ray Machine at the Airport ✈️ #shorts #peppapig 1 মিনিট 
The Basement: Bryce Zabel | Dark Skies and Hollywood UFO Deals 176 মিনিট 
BETA SQUAD $10,000 CHALLENGE 26 মিনিট 
Mr Bean Makes a Movie and Becomes Lord Bean | Mr Bean Animated 24 মিনিট 
Abandoned - RMS Queen Elizabeth 21 মিনিট 
🍜🍝Cat Chef Duo’s Cooking Challenges Compilation | That Little Puff 9 মিনিট 
my life in the suburbs with a boy 🧸💕 | exploring OC, beach day, getting active & room haul! 30 মিনিট 
11 Marketing Rules Every YouTuber Needs to Know 51 মিনিট 
my life in Korea 🍚🌷 | GLOW UP with me: headspa & Korean perm, traveling in my 20s with friends 26 মিনিট 
Insane Egg & Chicken Recipes Even Chickens Would Freak Out 🐔 | That Little Puff 11 মিনিট 
Doctor Strange 3 #shorts #doctorstrange #doctorstrange3 #avengersdoomsday 1 মিনিট 
alone in New York City 🍎🚕 | café hopping, a glorious shoe hunt & brand events with new friends! 30 মিনিট 
productive days living alone 🧸🧺 | building my bed frame, making mochi waffles & lil cozy night in 29 মিনিট 
Vintage Shopping in Tokyo | 4K HDR Walk Through Japan’s Fashion Capital 65 মিনিট 
A e o n : Dark Ambient Sci Fi Space Music for Focus 61 মিনিট 
The Kennedy Assassination: Inside the Book Depository 99 মিনিট 
How to Plan Winning YouTube Videos (Step-by-Step) 13 মিনিট 
Infrared Touchscreens #technology #electronic #experiment 1 মিনিট 
Disney's Animatronics: A Living History 106 মিনিট 
Essential Skills for Becoming an AI Engineer: RAG, AI Agents, & More 11 মিনিট 
Uh oh… AI-search engine for developers has emerged 1 মিনিট 
Mr Bean Gets CHASED by a DINOSAUR! 🦖 | Mr Bean Animated Season 2 | Funny Clips | Mr Bean 24 মিনিট 
What should security leaders do with AI? They don’t know. 30 মিনিট 
Stealth in Video Games 17 মিনিট 
Ranking Every Countries Most Popular Dish 21 মিনিট 
COMPILATION: Fascinating Horror Shorts 31 - 60 | Fascinating Horror 27 মিনিট 
❤️ Find Your Intersection with Content 1 মিনিট 
Mark Rober's $60 Million Dollar Experiment 77 মিনিট 
Stop Expecting AI Perfection ❌ 1 মিনিট 
We need to talk about the Hank Green situation 53 মিনিট 
The Training Exercise That Killed 700 Troops | Fascinating Horror 12 মিনিট 
Hello from inside a tiny boat. 24 মিনিট 
The Most Expensive Ad of All Time 2 মিনিট 
How Creators Should Store and Back Up Their Content! 12 মিনিট 
Who's accountable for AI agents? 1 মিনিট 
Every Google Phone Ever. Same Picture! 1 মিনিট 
What’s the Most Cost Effective Tech Upgrades 1 মিনিট 
Why is Everyone Wearing Wired Earphones? 1 মিনিট 
Is Yvonne Happy with Her New Laptop? 12 মিনিট 
$1000 to $4000 Laptop - Snapdragon Edition 1 মিনিট 
This 100-year-old ride must never change again. 17 মিনিট 
LORN - PAWO 3 মিনিট 
My Son Needs a New Laptop 20 মিনিট 
Creators Give One Word Take To Our New Screwdriver 1 মিনিট 
LORN - NEGATIVE JUMPSUIT 4 মিনিট Deriving the Boltzmann formula, defining temperature, and simulating liquid/vapor. @SpectralCollective has the second part: https://youtu.be/yEcysu5xZH0 You can play with a simulation of this model here: https://vilas.us/simulations/liquidvapor/ These lessons are funded directly by viewers: https://3b1b.co/support Home page: https://www.3blue1brown.com Notes from Vilas: 1) This open problem is to prove the ergodicity of the deterministic dynamical systems that are used to model the molecule-level physics. A good example of such a dynamical system is the box with particles evolving according to Newton's laws with elastic collisions, like in the video. 2) This video assumes that all probability distributions are discrete, which is the case in the simulations. But one can also set up this formalism for systems with continuous state spaces. Again, a good example is particles in a box, which are not restricted to a lattice, which is only used for visualization purposes in this video. 3) Strictly speaking, these "derivatives" don't make sense since in our simulations the energy can only take on a discrete set of values. But a derivative is the right way to think about this, and is the correct notion in a limiting sense. 4) The factor of -T in the definition of the chemical potential is sort of a historical leftover, but including it has the convenient side effect of allowing the same Boltzmann formula to hold, with an energy function that depends on the chemical potential as well. It should also be noted that temperature must equalize in any situation where the chemical potential equalizes, since it is impossible for systems to exchange molecules without also exchanging energy. 5) This algorithm, where we only choose one pixel at a time, is called Glauber dynamics. There are multiple ways to parallelize it, but the method chosen in this video is to only update each pixel with a low probability at each call of the compute shader, to avoid (frequently) updating two neighboring pixels simultaneously. One could also alternate between updating the even or odd pixels at each step. 6) By "zooming out," what is meant, technically, is a renormalization operation whereby each 3x3 grid of pixels is replaced by just one pixel, which has a molecule exactly when 5 or more of the pixels in the 3x3 grid have molecules. But that is somewhat tough to simulate as the size has to increase by 9 at each step, so this video cheats a bit by just zooming out on a large simulation. 7) The "interesting behavior" referenced here is the fact that the interface between the up and down sections of the picture can be rescaled (as the size of the model goes to infinity) in a way that yields a universal random curve called Schramm-Loewner evolution. This family of random curves shows up in many seemingly-unrelated places in statistical mechanics and probability. Chapter markers: 0:00 - What is phase change? 6:27 - The Boltzmann law and free energy 12:05 - A preliminary simulation 15:30 - Defining temperature 21:25 - Deriving the Boltzmann law 24:30 - Sampling with MCMC 28:30 - Chemical potential 33:20 - Interesting properties This video made use of the following Creative Commons material: https://commons.m.wikimedia.org/wiki/File:How_to_(nearly)_instantly_freeze_a_bottle_of_sparkling_water.ogv https://commons.m.wikimedia.org/wiki/File:Blue_rotating_brain_animation.mpg https://commons.m.wikimedia.org/wiki/File:7_Tesla_MRI_of_the_ex_vivo_human_brain_at_100_micron_resolution_(100_micron_MRI_acquired_FA25_coronal).webm https://commons.m.wikimedia.org/wiki/File:Axonal_nerve_fibers_in_a_brain_-_the_neural_network_that_is_us.webm
Packages published by the creator behind this video.
This creator has not set their rates yet. Send a request and we will pass it on — the price is agreed before anything is charged.
A recurring seat in my content. Subscribers enter a queue — or a random draw when there are more subscribers than slots — and appear in the video itself, in the credits, or in the description.
per month
Price on request
A guaranteed appearance of at least 10 seconds in my next video. Price depends on where in the runtime the insert lands.
Price on request
A guaranteed appearance of at least 10 seconds inside a Short cut from one of my existing videos.
one-off
Price on request