JuliaSim FMU Accelerator App: Digital Twin Generation using Scientific Machine Learning (SciML)
Julia Computing delivers JuliaSim as an answer to accelerating simulations through digital-twin (or surrogate) modeling. By blending classical, physical modeling with advanced scientific machine learning (SciML) techniques, JuliaSim provides a next-generation platform for building, accelerating, and analyzing models.
https://juliacomputing.com/products/juliasim/
https://arxiv.org/abs/2105.05946
https://sciml.ai/
00:00 Julia Computing introduction
00:46 How JuliaSim solves industrial modeling challenges
03:59 Real-world success with JuliaSim
04:51 Example model
05:37 Launching JuliaSim's FMU Accelerator
06:29 Surrogatizing the example model
08:46 Analyzing the surrogate model via diagnostic dashboard
15:25 Workflow integration review
15:53 JuliaSim as a fully-featured simulation platform
16:09 Cost versus Benefit
For more information, contact info@juliacomputing.com
#sciml #machinelearning #ai #modeling #simulation
Julia Computing delivers JuliaSim as an answer to accelerating simulations through digital-twin (or surrogate) modeling. By blending classical, physical modeling with advanced scientific machine learning (SciML) techniques, JuliaSim provides a next-generation platform for building, accelerating, and analyzing models.
https://juliacomputing.com/products/juliasim/
https://arxiv.org/abs/2105.05946
https://sciml.ai/
00:00 Julia Computing introduction
00:46 How JuliaSim solves industrial modeling challenges
03:59 Real-world success with JuliaSim
04:51 Example model
05:37 Launching JuliaSim’s FMU Accelerator
06:29 Surrogatizing the example model
08:46 Analyzing the surrogate model via diagnostic dashboard
15:25 Workflow integration review
15:53 JuliaSim as a fully-featured simulation platform
16:09 Cost versus Benefit
For more information, contact info@juliacomputing.com
#sciml #machinelearning #ai #modeling #simulation
