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1. #Poisson relations thermodynamics calculator code#
2. #Poisson relations thermodynamics calculator series#

#Poisson relations thermodynamics calculator series#

So that year, APIC enhanced the water in Pocahontas with many rich details.įast forward to 2017, a young man surnamed Hu came to visit me, and together we pushed the APIC and MPM series work to a climax: Moving Least Squares MPM (MLS-MPM). Burbank, where Disney is located, is a desert city in the Greater Los Angeles area, but I became attached to the desert and the sea. It was completed by myself in Disney’s Big Hat studio during Christmas 2014. The second direction: Affine Particle Cell Method (APIC). I believe that in the next few years, more movies will see the application of MPM. Recently Autodesk bought it and put it into Maya. Later, I started a company with people and wrote a practical MPM special effect solver. As big as mountains and rivers, as small as rain and dew, MPM has gradually expanded from an iron-headed skill to a book of seventy-two stunts. There are solids, Newtonian fluids, non-Newtonian fluids, granular bodies, solid-liquid mixtures, and human bodies. So what I can see from the face is that I and a group of like-minded people use MPM to flatten all kinds of solids and fluids in the physical world: chocolate, jelly, bread, toothpaste, ice cream, foam, mud, lava, steak, Dongpo meat, oranges, watermelons, muscles, bones, internal organs, fabrics, sweaters, hair, snow-capped mountains, sandy seas, glaciers, rivers, drones, explosives, etc. But the technical point is the lining, and the MPM is the face. MPM is a high-quality canvas, and the innovation of these technical points is the real stroke. The real technical point of numerical simulation of physical process lies in the discrete algorithm of time and space, the design of constitutive model, the acceleration of performance, and the ingenious solution of numerical solutions of partial differential equations. From a technical point of view, MPM is just a basic Galerkin space architecture. So I decided to spend some effort to reshape the image of MPM. It became a stereotype that MPMs were good at making snow in the short term. Since you can’t describe too much code, just put good stills:

#Poisson relations thermodynamics calculator code#

The code of Disney Studio is very bloated, far more than 99 lines, and Disney’s lawyers are not vegetarians, there has always been a desert island survival painting Mickey said. After I discovered MPM in 2012, I did something else, and other students in the group used MPM to verify snow I didn’t participate in the original SIGGRAPH work in the early days.

When it comes to the material point method, according to the usual practice, you may have to mention the Frozen that you have participated in more or less. In this chapter, a general overview will be given first. The people and things of each method will be recalled in the following chapters. There are three representative directions of the shot: Material Point Method (MPM), Affine Particle In Cell (APIC), and Incremental Potential Contact (IPC). In the past twelve years, I have done some physical simulation-related scientific research for computer graphics.

By the way, I wrote down the awesome things I did along the way and the awesome people I met. Along the way, there are many things worth remembering and summarizing, which may help to think about the future. From undergraduate physics, to CS PhD, CS faculty, and mathematics tenure, this seemingly tortuous 12 years was actually doing the same research, and not a year was wasted. Then, from the age of 19 to 31, is there anything to remember? There seems to be a lot, but if you don’t organize them, you don’t know where to start. I thought maybe I could write something to commemorate it. I thought about it, and it seems that this is really the case for the change in mentality. Recently on tenure, someone came to congratulate: “Now you can freely decline review requests!”.