AI4Research Seminar

  • Date: 25 September 2023, 15:15–16:15
  • Location: Tidskriftsläsesalen Carolina Rediviva
  • Type: Seminar
  • Lecturer: Prof. Helge Sören Stein, TU München
  • Web page
  • Organiser: AI4Research
  • Contact person: Cecilia Alsmark
  • Phone: 0737078418

Automation is ubiquitous in manufacturing, and artificial intelligence is rapidly evolving. But how can we harness this power as experimental scientists? How can these tools help us Europeans to stay ahead of the competition in academia and industry?

This talk will review the (r)evolutionary history of high-throughput experimentation (HTE), inverse design, and recent developments in materials acceleration platforms (MAPs). More importantly, I will chart a path for the next steps in tackling the Nobel-Turing Challenge. I will share general concepts, robots, and machine learning algorithms that enabled us to test and manage experiments on millions of catalysts, build and test more cells in a day than most groups do in a year, and discuss why speed is meaningless when research tasks are not integrated. Finally, I want to provoke some discussion on the fundamental challenges in accelerating research and what we need to do to expedite the proliferation of insights and tools from the lab bench to factories and back.