This podcast focuses on explaining the fascinating ways that science and engineering change the world around us. In each episode, we talk to leading engineers from elite-level sports like cycling and Formula 1 to some of world's top academics to understand how fluid dynamics, machine learning & supercomputing are bringing in a new era of discovery. We also hear life stories, career advice and lessons they've learnt along the way that will help you to pursue a career in science and engineering.
This podcast focuses on explaining the fascinating ways that science and engineering change the world around us. In each episode, we talk to leading engineers from elite-level sports like cycling and Formula 1 to some of world's top academics to understand how fluid dynamics, machine learning & supercomputing are bringing in a new era of discovery. We also hear life stories, career advice and lessons they've learnt along the way that will help you to pursue a career in science and engineering.
In this episode, Neil discusses five key trends in Computational Fluid Dynamics (CFD) that are shaping the industry now and in the coming years. He emphasizes the growing importance of GPUs, the integration of AI and machine learning, the shift towards cloud computing, and the potential for mergers and acquisitions in the CFD space. Each trend is explored in detail, highlighting its implications for accuracy, efficiency, and the future of simulation technologies.
Takeaways
GPUs are becoming the primary computing platform for CFD.
AI and ML are driving advancements in CFD methodologies.
Cloud computing is essential for accessing high-performance resources.
The CFD industry is experiencing a shift towards digital certification.
Startups are emerging, focusing on innovative CFD solutions.
Mergers and acquisitions are likely to increase in the CFD market.
Higher fidelity simulations are becoming more feasible with new technologies.
The integration of AI could lead to real-time CFD capabilities.
Cost efficiency is a major driver for adopting new technologies.
The CFD landscape is evolving rapidly, with significant opportunities ahead.
Keywords
CFD, GPUs, AI, Machine Learning, Cloud Computing, Trends, Digital Certification, Mergers, Acquisitions, Simulation
Chapters
00:00 Introduction to CFD Trends
02:04 The Rise of GPUs in CFD
14:06 The Impact of AI and Machine Learning
29:39 The Shift to Cloud Computing
38:41 Digital certification: Higher-fidelity methods
43:00 Future of CFD: Mergers and Innovations