CFN Colloquium (Virtual)

"Using Machine-Learning to Enable Autonomous X-ray Scattering"

Presented by Dr. Kevin Yager, Brookhaven National Lab, Center for Functional Nanomaterials

Thursday, July 2, 2020, 4:00 pm — BlueJeans Event - see "more information"

Autonomous experimentation holds the promise of revolutionizing scientific studies and accelerating materials discovery, through instruments that can explore scientific problems without human intervention. This talk will introduce basic machine-learning concepts, and describe our ongoing development of autonomous experimentation at synchrotron x-ray scattering beamlines. Deep learning (convolutional neural networks) are used to classify x-ray detector images, with performance improving when "physics awareness" is included. To close the autonomous loop, we deploy a general-purpose algorithm that selects high-value experiments to conduct, attempting to minimize both uncertainty and experimental cost. Examples from recent autonomous experiments will be presented, including measuring nanoparticle ordering, combinatorial libraries of block copolymer materials, and realtime photo-thermal processing.

1) Web Browser
2) Laptop paired with room system (Best Experience)
a) Dial: or in the room system.
b) Go to
c) Enter the pairing code displayed on your room system screen into your browser.
3) Room System
a) Dial: or in the room system.
b) Enter Meeting ID: 712959100 and Passcode: 5736
4)Joining via a mobile device?
a) Open this link:
b) Download the app if you don't have it already.
c) Enter event ID : hxuzwcjf
5) Phone a) Dial one of the following numbers: +1 (415) 466-7000 (US) b) Enter the participant PIN: 4639035 followed by # to confirm.

Joining from outside the US?

Hosted by: Deyu Lu

More Information

15756  |  INT/EXT  |  Events Calendar