From Aerospace to Data Centres: Advancing Thermal Design for Energy-Critical Applications with Physics-Driven Generative AI
Featuring
As products become more powerful and compact, thermal management is now a critical design constraint across aerospace, energy, and data-centre applications. Join ToffeeX and CAD-IT for a practical session on how physics-driven generative AI can help engineering teams design more efficient cooling solutions faster.
Discover how combining physics simulations, topology optimisation, and AI-augmented workflows enables engineers to explore more design options, improve thermal performance, and reduce development cycles without compromising real-world engineering requirements.
Agenda
• Introduction to ToffeeX and CAD-IT
• Thermal Design Challenges in Modern Engineering
• Physics-Driven Generative AI for Cooling Applications
• Case Studies Across Aerospace, Energy and Data Centre
• Q&A Discussion
Why Attend
You’ll gain practical insight into how to move beyond manual iteration and use physics-based generative design to balance thermal performance, pressure loss, weight, manufacturability, and other engineering constraints.
