MultiphysicsAI: Introducing the new paradigm for engineering simulation

Описание: 0:00 Introduction
4:53 Current limitations blocking innovation
6:53 Introducing Quanscient MultiphysicsAI
7:43 Overview of the workflow
8:30 Example use cases
9:23 The vision of MultiphysicsAI
11:20 Why MultiphysicsAI?
13:09 Introduction to the key problem
14:36 Why Allsolve can solve this
15:49 The essence of MultiphysicsAI
17:46 Intoduction to the case examples
18:44 Case example 1: PMUT
21:32 Problem definition, data generation & AI training
24:10 Results
29:55 Quantifiable improvements
30:35 Case example 2: MEMS microspeaker
31:25 Problem setup and results
33:31 Monte Carlo analysis
35:56 Case example 3: Piezo material characterization
37:44 Problem definition, data generation & AI training
41:06 Final thoughts
44:12 Q&A: Accuracy of simulation model
45:06 Q&A: Nonlinear structure mechanics
45:38 Q&A: Preventing non-physical solutions
47:22 Q&A: Training on external data
48:22 Q&A: Result fields instead of KPIs
49:36 Q&A: Ensuring sensible training data
51:12 Q&A: Core hours and pricing
53:13 Q&A: Superconductor applications
54:38 Q&A: Usage of Allsolve and MultiphysicsAI
57:54 Q&A: Privacy and ownership of training data
59:25 Q&A: Objevtices in multidimensional optimization

Learn more and access all resources here: https://quanscient.com/multiphysicsai

Join the exclusive launch and see how natively coupled multiphysics algorithms, cloud computing, and AI enable a new way to simulate.

In this special launch event, we will introduce something new at the intersection of engineering simulation and AI.

This launch will introduce a completely new way of utilizing proprietary simulation data, neural networks, and multiphysics algorithms allowing you to make high-impact design decisions faster and with more confidence than ever before.

We will walk you through the entire process, cover real-world case examples across multiple industries, and outline how to get started immediately after the reveal.

Key takeaways:

Get an exclusive look at a new approach to make high-impact design decisions faster and with greater confidence
See the end-to-end process in a clear, practical walkthrough with real-world examples across multiple industries
Leave with concrete next steps to start realizing the benefits before the public reveal

Who should attend?
Engineering and R&D teams responsible for high-impact design decisions, including simulation/CAE practitioners, engineering managers, and technical leads seeking faster paths to confident results.