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Raynumeric Simulation & Technologies

@raynumeric

Digital Twin (DT), Sensors, Internet of Things (IoT), Machine Learning, Artificial Intelligence, EASA excel to web app, CFD,CAE, FEA, NVH,

 Bengaluru
raynumeric.com/
Joined June 2020
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WEBINAR: Component Life Prediction thr' Simulation - DigitalClone for Engg - Sentient Science Date: 7th April 2022, 9:30 AM to 10:30 AM IST DigitalClone for Engg Modules, Material Characterization & Modeling, Life Prediction, Link to register lnkd.in/db7jafWu

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Digital Twin – Physics Informed Neural Network (PINN) : A Robust and Accurate basis for Surrogate Models in Engineering and Sciences. It can be shown that proxy or surrogate models based on the PINN are superior to traditional models based on data
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