March 17, 2022
The independent results are in: M-Star solves the same models/physics with a speed about 100–1000x faster than any popular “Other Software You See” FVM solver.
In print, this 100–1000x speed increase is just a number. So let’s take a physical example:
Say you need to travel across a continent for an important business meeting. One option is to walk—a process that might take several months. Hopefully you don’t get bitten by a snake or stranded in a blizzard. Another option is to fly on an airplane—a process that takes only a few hours. Don’t forget to bring a good book and enjoy the snacks.
Although both approaches give you the same net effect—crossing the continent—the two processes are incomparable. Traveling on a plane is more than just “walking really fast”—it’s a paradigm shift in how you orchestrate business and live.
In simulations, running 100–1000x faster is not just the same old stuff, only faster . . . it is a paradigm shift in the types of systems you model.
Stop walking across continents. Avoid snakes and blizzards. Start flying with M-Star. Your time is too valuable.
This week, guest Piero Armenante, Distinguished Professor of Chemical Engineering at NJIT, joins John to talk about his background in mixing, what it takes to join his research group at NJIT, and the hybridization of CFD and experiment in his research.
In this blog, we discuss the benefits, evolution and key features of CFD software.
M-Star President John Thomas talks about the problems with traditional CFD software – and what’s possible today with modern tools.
