August 11 and 13

AI/ML for

ALS Research Innovation Forum

a virtual event at Berkeley Lab

hosted by the Advanced Light Source

A forum on the development of new

experimental and computational approaches

in a synchrotron environment

Tuesday August 11: 10am - 12pm

Thursday August 13: 10am - 12pm

Session 1 recording available here.

Session 2 recording available here.

At the ALS we, as members of the Instrumentation-Thrust Area, are in a unique position to lead the development of new experimental and computational approaches in a synchrotron environment. Recent breakthroughs in machine learning have had a tremendous impact across industry and science domains, largely due to the readily available large labeled data sets and new developments in more effective network architectures.

However, there are several challenges associated with capitalizing on these ideas in the context of scientific machine learning. Even if the data sets created at the ALS are by their nature large (e.g. 4D STXM and ptychography, nanoARPES, XPCS, ... ), they usually only represent a subset of materials and parameter space. Extrapolation from there to other materials and properties can be very challenging.

The combination of the ALS, the Molecular Foundry, NERSC, and our collaborating colleagues at CAMERA, MSD, CSD, UCB, and all other academic and industrial research activities of the Bay Area provide a unique environment to tackle this and other challenges of scientific machine learning.


Nathan Melton

ALS Postdoctoral Scholar, LBNL

Tess Smidt

Luis W. Alvarez Postdoctoral Fellow, LBNL

Dani Ushizima

Staff Scientist, LBNL

Affiliate Faculty, UCSF

Mathew Cherukara

Assistant Scientist, Advanced Photon Source , ANL

Marcus Noack

CAMERA Postdoctoral Fellow, LBNL

Sergei Kalinin

Distinguished corporate fellow, Center For Nanophase Materials Sciences, ORNL

Steve Whitelam

Staff Scientist, Molecular Foundry, LBNL

Subramanian Sankaranarayanan

Theory and Modeling Group Leader, Center for Nanoscale Materials, ANL

Read the most recent AI-ML DOE report below


Let us know if you'll be attending!