Sidebar Menu (View Pages)
- Status
- ⌃ Science
- ⌃ Users
- ⌃ Facilities
- ⌃ Public
- Industry
-
⌃
About
- Staff Directory
- Advisory Bodies
- What we do
- Job Openings
- ⌃ News
-
⌃
Publications
- Publications 2025
- Publications 2024
- Publications 2023
- Publications 2022
- Publications 2021
- Publications 2020
- Publications 2019
- Publications 2018
- Publications 2017
- Publications 2016
- Publications 2015
- Publications 2014
- Publications 2013
- Publications 2012
- Publications 2011
- Publications 2010
- Publications 2009
- Publications 2005
- Beyond the Lab
- History
Tags
Featured

CHESS Awarded Research Advanced by Interdisciplinary Science and Engineering (RAISE) Grant
The collaboration created by RAISE converges structural materials data collected from the FAST and SMB beamlines at CHESS with the new technologies being developed at NSF High Performance Computing sites to create a Science Gateway.

ACA Workshop Highlights Practical Application of Small Angle
Richard Gillillan, CHESS Staff Scientist, conducted a SAXS workshop at the ACA conference late last month. Organized by former CHESS postdoc Jesse Hopkins, and now staff scientist at the Advanced Photon Source, students learned about this useful technique and its applications from the people that have written the book on Small Angle X-Ray Scattering.

Presentations at the PREM/SUNRISE/SERCCS Symposium August 7 1PM
The SERCCS/PREM/SUNRiSE Summer Students presented their research projects at a virtual Symposium & Poster Session on Friday, August 7th at 1pm.
These presentations were the final highlight of the 8- week programs of students working with CHESS mentors.

Stress Test for Remote Operations at CHESS
On July 31st, all seven CHESS beamlines scheduled for user operation in fall were being fully operated by remote connection - all at the same time - sometimes with 2 people connecting simultaneously to one machine.

Unsupervised Learning of Dislocation Motion
Rather than analyze diffraction data with a physics-based X-ray model to try to extract structural information chosen a priori, a team comprised of researchers from CHEXS, Cornell, and NIST used the unsupervised learning technique, locally linear embedding (LLE), to condense X-ray data down to critical microstructural (dislocation configuration) evolution information.

Survey of CHESS Beamtime Proposal Reviewers
The fairness of the proposal review and beamtime allocation process is crucial to CHESS.
We polled our proposal reviewers recently to assess their view of the CHESS proposal review process.

MSN-C receives renewal of funding for second year
The Materials Solutions Network at CHESS (MSN-C) has received a renewal of funding from the Air Force Research Lab (AFRL) for its second year of operation.

Richard Gillilan describes capabilities of BioSAXS at the 70th Annual ACA meeting
“If there’s one thing I want everybody to remember, it’s this one statement: Anything a biomolecule does changes its volume.”