Következő
Simulating and understanding phase change | Guest video by Vilas Winstein 42 perc 
The Great British Baking Show: Collection 14 | Official Trailer | Netflix 2 perc 
Inside Memphis’ Most Dangerous Hoods 83 perc 
They Left Everything Behind Except an Explanation 37 perc 
Nimesh Patel: Buy the Dip | Sneak Peek | Netflix 2 perc 
BETA SQUAD GUESS THE FOOD CHALLENGE 21 perc 
I bought the most CURSED TECH on the internet ft. KSI 25 perc 
BETA SQUAD POP THE LIAR 33 perc 
This might be my new favourite game... 🫣 2 perc 
The Basement: Dave Paulides | Bigfoot, Vanishing Hikers, and German Physicists 114 perc 
Uh oh Abaddon discovered Netflix. #HauntedHotel Sn2 returns Oct 9! #Wednesday #Netflix #Shorts 1 perc 
everyday glam makeup routine | drugstore & high-end products, less than 20 minutes! 21 perc 
my life in new york city 🍎🚕 | exploring the city, shopping in soho & girls night out! 27 perc 
Puff is rooting for @Erling Haaland are you ready for the finals? #FIFAGO #haaland 1 perc 
Devil’s ketchup! #thatlittlepuff 1 perc 
Top 30 Creative Recipes by Puff 🐱🍴✨ | That Little Puff 17 perc 
Making my bones UNBREAKABLE with real-life NANOTECH! 43 perc 
Insane Egg & Chicken Recipes Even Chickens Would Freak Out 🐔 | That Little Puff 11 perc 
Puff IRL! #thatlittlepuff 1 perc 
LOTR's Pippin is Your Ghost-Busting Sidekick in There Are No Ghosts at The Grand | gamescom 2026 7 perc 
The Bath Curse Tablets | Fascinating Horror Shorts 1 perc 
Consumed by the Apocalypse 27 perc 
Bond 26 (2027) Henry Cavill & Margot Robbie 9 perc 
I Made a Crazy Co-op Game IN REAL LIFE! #gaming #tabletopgaming #ChatGPT_Partner #ad @OpenAI 2 perc 
Newly declassified video shows risky daytime raid to save pilot in Iran #shorts 1 perc 
Plasma Globe Can Be a Fire Hazard #experiment #technology #science #funny 1 perc 
Antigravity A1: A New Take on Drones! 11 perc 
The #1 Worst Drink for Your Gut 2 perc 
Best Cameras for YouTube Under $500 16 perc 
A Donkey Ate Mr Bean’s Only Map! 😭 #mrbean #newmrbean2026 2 perc 
How Will Mr Bean Fix This Priceless Masterpiece?! 😱 🎨 | Bean: the Movie | Mr Bean 5 perc 
⏰ You have more time than you think 1 perc 
He Forgot The Most Important Thing | Fascinating Horror Shorts 1 perc 
"Well this is a lesson, like don't do that" 1 perc 
Hollyland Lark A2: Best Budget Mic of 2026? 11 perc 
BREAKING: YouTube Just Changed Monetization 20 perc 
🚀 How to Get 1 Million Subscribers in 1 Month 1 perc 
Where's Real Enterprise Value?💡 1 perc 
Antique Steam Tractor Kills Five | Fascinating Horror 11 perc 
How to Get Sharp, Professional Video From Any Camera 10 perc 
"Nobody Leaves Without Paying" - The Ycuá Bolaños Fire | Fascinating Horror 12 perc 
Thomas, a tank engine, is not Thomas the Tank Engine. 18 perc 
I Tried All The Best (and Worst) Doorbells 18 perc 
Android 17 Is the Biggest Upgrade in Years 18 perc 
When Should You Change Thermal Paste? 1 perc 
What height does your phone become DEADLY? 1 perc 
Meet the Pets - Yvonne's Three Chickens 16 perc 
Samsung Z Fold 8 (Wide) Impressions: Better Than I Thought! 10 perc 
This Took 6 Years to Make 1 perc 
Army of Fear 3 perc 
LORN - THERE IS STILL TIME 2 perc 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