A5007255618- Scientific Computing and Data Management
- Nuclear Physics and Applications
- Machine Learning in Materials Science
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- X-ray Diffraction in Crystallography
- Nuclear reactor physics and engineering
- Crystallization and Solubility Studies
- Advanced X-ray Imaging Techniques
- Research Data Management Practices
- X-ray Spectroscopy and Fluorescence Analysis
- Muon and positron interactions and applications
- Computational Physics and Python Applications
- Advanced NMR Techniques and Applications
- Big Data and Business Intelligence
- Nuclear Materials and Properties
- Superconducting Materials and Applications
- Mobile Crowdsensing and Crowdsourcing
- Hydrocarbon exploration and reservoir analysis
- Hydrogen Storage and Materials
- Radiation Detection and Scintillator Technologies
- Electronic and Structural Properties of Oxides
- Advanced X-ray and CT Imaging
- Atomic and Subatomic Physics Research
- Ammonia Synthesis and Nitrogen Reduction
Brookhaven National Laboratory
2017-2024
National Synchrotron Light Source II
2018-2024
National Institute of Standards
2022
National Institute of Standards and Technology
2022
Catalyst Health Economics Consultants Ltd
2019
Chilton Medical Center
2016
Rutherford Appleton Laboratory
1999-2016
Oak Ridge National Laboratory
2010-2015
University of Salford
1997-1999
NeXus is an effort by international group of scientists to define a common data exchange and archival format for neutron, X-ray muon experiments. built on top the scientific HDF5 adds domain-specific rules organizing within files, in addition dictionary well defined field names. The has two purposes. First, it defines that can serve as container all relevant associated with beamline. This very important use case. Second, standards form application definitions between applications. provides...
Xi-cam is an extensible platform for data management, analysis and visualization. aims to provide a flexible approach synchrotron treatment as solution rising demands high-volume/high-throughput processing pipelines. The core of plugin-based graphical user interface which provides users with interactive algorithms. Plugins are available SAXS/WAXS/GISAXS/GIWAXS, tomography NEXAFS data. With Xi-cam's `advanced' mode, steps designed graph-based workflow, can be executed live, locally or...
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery.
To address the growing scale of data at user facilities, a multi-facility collaboration is developing collection Python libraries, which are co-developed but may be used la carte, to leverag...
We developed a python-based fluorescence analysis package (PyXRF) at the National Synchrotron Light Source II (NSLS-II) for X-ray fluorescence-microscopy beamlines, including Hard Nanoprobe (HXN), and Submicron Resolution Spectroscopy (SRX). This contains high-level fitting engine, comprehensive commandline/ GUI design, rigorous physics calculations, visualization interface. PyXRF offers method of automatically finding elements, so that users do not need to spend extra time selecting...
Abstract We describe the current and future plans for using artificial intelligence machine learning (AI/ML) methods at National Synchrotron Light Source II (NSLS-II), a scientific user facility Brookhaven Laboratory. discuss opportunity AI/ML tools techniques developed in data computational science areas to greatly improve output of large scale experimental facilities. our including from detecting recovering faults, optimizing source instrument configurations, streamlining pipeline...
The integration of robotics and artificial intelligence (AI) into scientific workflows is transforming experimental research, particularly at large-scale user facilities such as the National Synchrotron Light Source II (NSLS-II). We...
Imaging, scattering, and spectroscopy are fundamental in understanding discovering new functional materials.
Tools that standardize and automate experimental data collection are needed for greater confidence in research results. The National Synchrotron Light Source-II (NSLS-II) has generated an open-source Python acquisition, management, analysis software suite automates X-ray experiments collects record facilitates complete reproducibility. Here, we show the NSLS-II tools not only useful science at large-scale facilities by presenting add-on package adapts these use a small laboratory with common...
In this paper, we summarize briefly some of the future trends in synchrotron science as seen at National Synchrotron Light Source II, a new, low emittance source recently commissioned Brookhaven Laboratory. We touch upon imaging techniques, study dynamics, increasing use multimodal approaches, vital importance data science, and other enabling technologies. Each are presently undergoing time rapid change, driving field forward an ever pace. It is truly exciting one which Roger Cowley, to whom...
Ptychography is an emerging imaging technique that able to provide wavelength-limited spatial resolution from specimen with extended lateral dimensions. As a scanning microscopy method, typical two-dimensional image requires number of data frames. diffraction-based technique, the real-space has be recovered through iterative reconstruction algorithms. Due these two inherent aspects, ptychographic generally computation-intensive and time-consuming process, which limits throughput this method....
ORNL operates the world's brightest neutron source, Spallation Neutron Source (SNS). Funded by US DOE Office of Basic Energy Science, this national user facility hosts hundreds scientists from around world, providing a platform to enable break-through research in materials science, sustainable energy, and basic science. While SNS provides with advanced experimental instruments, deluge data generated these instruments represents both big challenge opportunity. For example, at can now generate...
Abstract Beamline experiments at central facilities are increasingly demanding of remote, high-throughput, and adaptive operation conditions. To accommodate such needs, new approaches must be developed that enable on-the-fly decision making for data intensive challenges. Reinforcement learning (RL) is a domain AI holds the potential to autonomous operations in feedback loop between beamline trained agents. Here, we outline advanced acquisition control software Bluesky suite, demonstrate its...