During the fall semester, in-person concerts, events and lectures that involve outside guests will not be held, per the university’s COVID-19 travel and visitor policy.
Thursday, October 29, 2020 at 4:00pmVirtual Event
Autonomous Materials Research and Discovery at the Beamline
The last few decades have seen significant advancements in materials research tools, allowing scientists to rapidly synthesis and characterize large numbers of samples - a major step toward high-throughput materials discovery. Autonomous research systems take the next step, placing synthesis and characterization under control of machine learning. For such systems, machine learning controls experiment design, execution, and analysis, thus accelerating knowledge capture while also reducing the burden on experts. Furthermore, physical knowledge can be built into the machine learning, reducing the expertise needed by users, with the promise of eventually democratizing science. In this talk we will discuss NIST's autonomous systems in a solid state, soft, and biological materials and their place in the NIST Collaboratory.
For Webinar information please contact Kyle Page (email@example.com)