Numerical simulations are used to explore design parameters and optimize key product metrics. However, they incur excessive computational costs, that impose significant limits on the size of simulation campaigns and lead to sub-optimal end design. Augur develops AI-based simulation models to accelerate simulation technologies by a factor 1000. We propose generic artificial intelligence algorithms to generate accurate, physically-realistic, low-cost simulations.
We develop a fine-tuning platform deployable both in-house and in the cloud.
We train Large Physics Models using state of the art neural network architectures.
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Doe Branding
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Doe Branding
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Doe Branding
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Doe Branding
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Emmanuel Menier has a Ph.D. in Deep Learning from Paris-Saclay University. He has worked as an engineer and contributed to research collaborations with leading industrial groups such as Air Liquide, Michelin or Airbus.
Matthieu Nastorg has a Ph.D. in Deep Learning, and previous research experience on using numerical simulation for bio-medical applications.
