Engineering Leaders Series
March 12, 2025
4:00 p.m. CET / 10:00 a.m. ET
Accelerating Automotive Innovation with Next-Generation Physics AI Workflows
The automotive industry is rapidly transforming towards electrification, autonomy, connectivity, and sustainability. New product innovation has to be accelerated while enhancing engineering efficiency on legacy products. For both, the primary challenge remains the cost and speed of engineering decision-making.
In this session hosted by ChargedEV, we explored how to access AI model training and deployment across multiple physics in a single platform. Specifically, we showed attendees the rapid and intuitive decision-making workflow, including:
• Demonstrating the accessibility and highly scalable nature of cloud-native simulation.
• API-driven geometry optimization study of an industrial electromagnetic design case.
• Ultra-fast training data generation via unlimited parallel simulations in the cloud.
• Introduction to AI model access next to high-fidelity CAE solvers simply via the web browser.
Product Manager
Nur is part of the product management team at SimScale, holds a master’s degree in computational mechanics, and is currently dedicated to the development and promotion of electromagnetics within SimScale.
SimScale is the world’s first cloud-native SaaS engineering simulation platform, giving engineers and designers immediate access to digital prototyping early in the design stage, throughout the entire R&D cycle, and across the entire enterprise. By providing instant access to a single fluid, thermal, and structural simulation tool built on the latest cloud computing technology, SimScale has moved high-fidelity physics simulation technology from a complex and cost-prohibitive desktop application to a user-friendly web application, accessible to any designer and engineer in the world.
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