📢 Join me and a panel of experts on the 27 February for an hour-long webinar discussing ‘AI tools for materials research and nanotechnology’. During the webinar, we will discuss the rapidly progressing field of ‘intelligent nanotechnology’ including some of the most recent developments and breakthroughs, the projected direction that the field may take into the future, and the most critical challenges currently posed. The four talk titles you can look forward to are: - ‘Towards Closed-Loop Materials Discovery at the Femtogram Scale using Scanning Probes’ - Keith Brown, Boston University, USA - ‘Physics and structure-property relationship discovery via automated Scanning Probe Microscopy’ - Sergei Kalinin, University of Tennessee, Knoxville, and Pacific Northwest National Laboratory, USA - ‘Interpretable features, influential instances and explainable machine learning models for nanoscience and technology’ - Amanda Barnard, Australian National University, Australia - ‘Towards Data Fusion in Materials Science: Bridging Simulations and Experiments with Data Science’ - Yaroslava Yingling, NC State Materials Science and Engineering, USA If this sounds like something you would be interested in, but can’t make the live webinar, register today to get sent a recorded version for you to watch at your leisure. Learn more and register at https://lnkd.in/eKuJ87ts
This is a must for anyone doing materials science. Knowing what things will look like in 10 years is very important, both for academic and industry research labs.
What an interesting webinar, definitely attending!
Looks interesting, just registered!
Weston Fulton chair professor, University of Tennessee, Knoxville, machine learning in physical sciences. Chief Scientist, AI/ML for Physical Sciences, Pacific Northwest National Laboratory. Ex-Amazon. Ex-ORNL
12moAlso, please share for reach! Tickle College of Engineering at the University of Tennessee University of Tennessee, Knoxville Pacific Northwest National Laboratory