Events at ORNL

Multilevel Techniques for Compression and Reduction of Scientific Data

The advent of exascale computer systems poses new challenges, motivating methods to cope with vastly increased amounts of simulation data. Enter data compression and reduction. Of particular interest are multilevel and hierarchical reduction methods, which split input data into a sequence of components tailored to the heterogeneous storage media of modern machines. Such methods are especially appropriate when the applications for which the data are to be used require varying levels of resolution.


  • Ben Whitney, Brown University, Providence, Rhode Island

Solid Electrolytes and Solid-State NMR Characterization

The distribution of Li/Na ions is very important for Li/Na-ion solid electrolytes, which affects the conductivity and activation energy in a large part. Solid-state nuclear magnetic resonance (NMR) is a good tool to catch the distribution of Li/Na ions due to the high sensitivity, which is powerful for characterization of Li/Na solid electrolytes. Some fundamental research has been done using different kinds of NMR techniques to combine the structure and properties of solid electrolytes.


  • Xuyong Feng, Florida State University, Tallahassee

A New Technology for Surface-Level Reactor Neutrino Detection

A new technology for reactor neutrino detection will be discussed. This detector is based on solid plastic scintillator as the electron antineutrino target, with thin sheets of lithium-6–loaded zinc sulfide used to tag neutrons. This detector is intended to be used for applications to reactor monitoring and may also contribute to short-baseline neutrino oscillation searches. This talk will discuss progress in the R&D effort and will present the results of a recent deployment of the MiniCHANDLER prototype at the North Anna Nuclear Power Plant.


  • Jonathan Link, Virginia Polytechnic Institute and State University, Blacksburg

X-Ray Vision of Metal Additive Manufacturing

Metal additive manufacturing is about 30 years old. Compared with conventional manufacturing, it provides superior capacity to fabricate parts of geometrically complex shapes. However, it is still far away from being a breakthrough because of the structural defects (e.g., porosity, cracks) and the unfavorable grain and phase structures. In 2016, a state-of-the-art in situ and in-real-time synchrotron-x-ray-based full-field imaging technique and the laser processing system were integrated and combined at the Advanced Photon Source.


  • Cang Zhao, Argonne National Laboratory, Lemont, Illinois

Development of Advanced Testing and Analysis Techniques for Fracture Toughness Characterization

Fracture toughness represents a material’s capability to resist fracture failure in the presence of flaws and defects. It is one of the most important properties in assessing the structural integrity of many engineering components. In certain applications, materials may experience extreme environments, such as neutron irradiation and elevated temperatures. Characterizing materials fracture toughness at service conditions becomes vitally important, but it imposes significant challenges in applying conventional fracture toughness testing and analysis techniques.


  • Xiang (Frank) Chen, Nuclear Materials Science and Technology Division

A Simple Test and Predictions for Assessing Susceptibility of Al Alloys to Solidification Cracking

Solidification cracking is a serious weld defect in welding Al alloys. A new test method has been developed and used to evaluate solidification cracking susceptibility of Al alloys. The test method was used with both gas tungsten arc welding (without filler metal) and gas metal arc welding (with filler metal) to make lap welds. The test results of wrought Al alloys showed that the susceptibility to solidification cracking increased in the order of 2219 Al, 2014 Al, 2024 Al, 7075 Al, and 6061 Al; that is consistent with the literature.


  • Tayfun Soysal, The University of Wisconsin, Madison

Nanoparticle-Enabled Phase Control in Solidification Processing of Metals

Solidification processing of metals, such as casting, welding, and laser-based additive manufacturing, is of paramount significance for the mass production of high-performance metals and alloys, which offer tremendous potential to improve energy efficiency and system performance for numerous applications. Effective phase control during solidification is vital to yielding desired microstructures with enhanced performance for materials. However, conventional phase control methods have gradually encountered certain technical and/or fundamental limits.


  • Chezheng Cao, The University of California, Los Angeles

Heterogeneity of Nanocatalysts and Multimodal Operando Investigations

In past decades, great efforts have been made in improving synthesis methods, developing characterization methods, and enhancing the catalytic properties and performances of catalytic nanoparticles. These efforts were motivated by the complexity of nanocatalysts which challenges the sample preparation and characterization methods, but on the other side is the key to control particle structure for better catalytic properties.


  • Yuanyuan Li, The State University of New York at Stony Brook

Artificial Intelligence for Advanced Manufacturing

The Office of Science and Technology Policy has recognized that the key to growth in the manufacturing industry in America is the development of next-generation manufacturing technologies. Recent advances in architectures for artificial intelligence (AI) and the internet of things have created promising opportunities for major scientific breakthroughs that can revolutionize the manufacturing industry.


  • Moderators: David Womble (AI Program Director), Xin Sun (ETSD Division Director), Jeremy Busby (MSTD Division Director), Shaun Gleason (CADAD Division Director), and Rick Raines (EESRD Division Director)