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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.