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LDRD seminar: Oct. 23

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Three Argonne researchers will discuss their Laboratory-Directed Research and Development (LDRD) sponsored work at the LDRD Seminar Series presentation Tuesday, Oct. 23, 2018, at 12:30 p.m. in Building 212, Room A157.  All are welcome to attend.

Visit the LDRD website to view upcoming seminars.

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Charles Catlett

Applying Argonne Technology to Help Cities Diagnose and Address Critical Urban Challenges, by Senior Computer Scientist Charles Catlett (MCS)

Abstract

Argonne has developed a platform to support intelligent sensor devices in remote  or harsh locations, with a specific focus on measuring cities. Building on the Chicago Array of Things project, Argonne scientists are working with the city of Detroit to deploy the platform to diagnose air quality and traffic flow. This presentation will cover the underlying technology, its use in Chicago and other cities, and the progress toward an installation in Detroit, partnering with the departments of health and transportation.

Biography

Charlie Catlett is a senior computer scientist at Argonne. He is also a Senior Fellow at the Computation Institute of the University of Chicago and Argonne, and a visiting artist at the School of the Art Institute of Chicago. His current research focus areas include urban data science, cyber security and privacy, mobile devices and social networks, and the use of mobile and embedded computing to create intelligent infrastructure. Catlett served as Argonne’s chief information officer; was director of the TeraGrid Initiative, a national-scale facility supported by the National Science Foundation; and co-founded the Global Grid Forum (now Open Grid Forum).  Concurrently, he directed the State of Illinois funded I-WIRE optical network project, deploying dark fiber and transport infrastructure to ten institutions in Illinois. Today I-WIRE provides over 200 Gb/s of lambda and dark fiber resources to major projects including TeraGrid, the Starlight international optical network hub, Optiputer, and ESnet.

Florent Heidet

Modeling and Simulation to Advance Molten Salt Reactors, by Nuclear Engineer Florent Heidet (NSE)

Abstract

Molten salt reactors are a type of advanced nuclear reactors currently benefiting from major interest from the international community. Relying of a liquid fuel (the molten salt), rather than the typical solid fuel used in current nuclear reactors, they are facing unique challenges in predicting their behavior during operation as well as in how to safely design them. This talk will discuss the innovative tools which were developed to allow the molten salt reactor industry to confidently predict the performance of their reactors concepts and allow them to enhance their designs.

Biography

Florent Heidet is a principal nuclear engineer in the Nuclear Science and Engineering division. He is focusing on developing and analyzing advanced nuclear systems. Currently, he is leading activities focusing on designing the core for a future U.S. nuclear test reactor and activities aiming at advancing the state of molten salt reactor technology.

Youssef Nashed

Coherent Diffraction Imaging at High Energies, by Assistant Computer Scientist Youssef Nashed (MCS)

Abstract

Polycrystalline materials serve as the backbone of our nation’s energy, transportation and defense infrastructures. Despite this, their underlying failure modes and strengthening mechanisms remain poorly understood, largely due to the lack of in situ experimental data of material evolution from the nanometer to macroscopic length scales. This information is crucial for the development of multi-scale models that incorporate microstructure, and are needed to facilitate the design of next-generation materials. World leading capabilities have been developed at the Advanced Photon Source (APS) to collect detailed strain images at micrometer resolutions (on thousands of grains) and nano-scale resolutions (on single grains), separately. Combining these techniques presents tremendous opportunities for multi-scale imaging, but with considerable challenges from the viewpoint of both experimental design and the lack of suitable 3-D coherent imaging phase retrieval algorithms. The focus of this project will be to identify and overcome these challenges such that such experiments can be conducted at the current APS, and provide immediate return on investment once APS-U operations commence.

Biography

Youssef Nashed is an assistant computer scientist in the Mathematics and Computer Science division at Argonne and a fellow at the Northwestern Argonne Institute for Science and Engineering. His research interests are in large-scale scientific data analysis and visualization, real-time image processing, machine learning on parallel and distributed architectures and image reconstruction algorithmic development.


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