Make sure to stop by at A422 stand on Tuesday at Web Summit and talk to our team from DimensionLab about how you can speed up physics simulations during early stages of product or technology development with Siml.ai!
#websummit2023 #physicsml #sciml
And also introducing PhysicsML - a package for physics-based/related models, providing a freely available, standardised and modular interface for handling, building and training 3d models with an emphasis on #neuralnetpotentials . Find out more: exscientia.github.io/physicsml/
Meow! Happy #InternationalCatDay !
Our team can only think about the one and only cat: Schrödinger’s.
Support for modeling quantum-mechanical systems with #PhysicsML in Siml.ai is highly requested feature. We’ll be adding it to our roadmap soon!
Learn how to accelerate your AI-based simulations using NVIDIA Modulus. #physicsML bit.ly/3yuddqY
Learn why AI-accelerated, physics-based, high-fidelity surrogates for interactive digital twins are 65X cheaper and use 58X less energy than numerical simulations. #PhysicsML #EnergyEfficiency
Read More: nvda.ws/3xvvU0D
🚨A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity
Preprint:
lnkd.in/erS7guRq
Experimental data and codes:
lnkd.in/e7AP8dvW
#frictionidentification #physicsML
#DVUgroup Luca Marino
'from the timeframe of years to weeks' - that's how drastically Siml.ai changes the world of physics simulations! 🚀
Learn more about #PhysicsML in the talk from our CEO Michal Takac (e/ia) ⬇️
youtu.be/qr4DLVPmt6E
Join us on April 26 at 8AM for a deep dive into NVIDIA's physics-ML framework, Modulus, as we discuss how #PhysicsML is changing what is possible. Register now.
Here is a short version of my latest talk that introduced audience to scientific machine learning and PhysicsML concepts and in the end I talk about how we leverage in Siml.ai DimensionLab
cc NVIDIA NVIDIA HPC Developer NVIDIAomniverse #Modulus
youtube.com/watch?v=qr4DLV…