Award Data

C55-22c-270318More stringent challenges, as required by future high energy physics experiments, require higher radiation tolerance and higher granularity to the silicon detectors. Recently developed precision timing detector technology based on silicon Low Gain Avalanche Diode (LGAD) although exhibits excellent timing performance, cannot attain 10 µm position resolution needed for advanced 4D det ...

C55-10a-270371Electron Tomography (ET) is used to visualize nanostructures in three dimensions, but long acquisition times make it unsuitable for the study of fast in situ reactions and dose-sensitive materials. The limiting factor for fast acquisition of ET data is stage instability causing drift in all directions while tilting. Because ET requires many images taken within the exact same field of ...

C55-13a-270397To date, no integrated characterization and predictive modeling workflow has been proposed to optimize Geothermal Battery Energy Storage (GBES) systems in sedimentary formations. Of particular concern is the near wellbore formation integrity of GBES systems that are subject to Thermal-Hydraulic-Mechanical-Chemical (THMC) loading conditions: during injection, storage, and production c ...

BioSynthetic Machines, Inc. (BSMI) is a Chicago, IL-based startup company launched in late 2021 with a goal to revolutionize design and engineering of the microorganisms for production of chemicals. We utilize the innovative machine learning (ML) and experimental methods of synthetic biology developed by the founders at Argonne National Laboratory and exclusively licensed to the company. Our proof ...

Sparse data is common in many scientific disciplines. Examples include large-scale simulations of physical phenomena, High Energy Physics experiments, machine learning applications, and many more. Acquired data is stored in a scientific data format that became a de facto standard for data management in government, academia and industry. As the amount of data in the scientific format continues to g ...

C55-05a-270492-AbstractChemical reactions are rarely performed in isolation. Most real-world applications involve chemical reaction networks in which many simultaneous chemical reactions of many species occur. Advances in high-performance computer simulations and laboratory automation provide an increasingly detailed picture of these chemical reaction networks, but the underlying representation in ...

C55-04b-270703The photonic approach to quantum information processing and networking is promising – it is expected that the quantum internet will be substantially built on optical fiber networks, where qubits can be exchanged over long distances via photons with wavelengths in the telecom range. The field of quantum photonics is continually developing and devices are being fabricated on scalable ...

C55-05a-270716Deep decarbonization is urgently needed across the board to solve the climate crisis. While carbon emissions associated with electricity production have reduced significantly over the past decade due to a precipitous decline in solar, wind, and battery costs, several sectors including chemicals and industrial transportation remain hard- to-abate. Specifically, by shifting chemical an ...

U.S. Department of Energy (DOE) is developing innovative, flexible, and small-scale (1-5 MW), modular gasification systems for converting diverse types of US domestic energy resources into value-added products with greatly reduced or negative CO2 emissions. Production of high purity (>95%) oxygen at modular scale is an enabling technology for successful development and deployment of these systems. ...

C53-14b-271071The increasing data rates in conventional and scanning transmission electron microscopy, afforded by the developments of faster detectors and novel in-situ methods, requires automation of post- acquisition data analysis and, ideally, identification of regions of interest during experimental data acquisition. The overarching objective of this program is to leverage a suite of cutting- ...