Award Data

The Multisensor Insitu Data with Machine Learning (MIDML) program will develop a convolutional neural network (CNN) to leverage data generated from multiple AM inprocess sensors. This can provide more accurate and reliable assessments and predictions of final part quality during layer-by-layer fabrication, in real time. The CNN will be developed for maximum prediction accuracy from multiple senso ...

C55-06a-270224-AbstractDemand for increased brightness of synchrotron light sources has been driven by advances in novel experimental techniques studying nanomaterials, micro- and nanocrystals, and interactions of atomic and molecular structures. Strong demand has pushed technologies of low emittance electron sources, novel concepts in electron storage rings, free electron lasers (FELs) and undula ...

The Department of Energy (DOE) requires the demonstration of bimetallic corrosion-resistant surfaces for structural and cooling components used in molten-salt nuclear-reactor systems. Proposed coating materials must survive thermo-mechanical loading (e.g., no flaking or spalling) during exposure to the high-temperature conditions encountered during reactor operation and maintain metallurgical stab ...

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 ...

Petrophysical properties such as porosity and permeability are arguably the most important parameters in enhancing geothermal heat production through better completion design and stimulation plan. Collecting well logs are often passive and associated with additional costs. In addition, many logging packages cannot sustain high-temperature formations often observed in geothermal conditions. In thes ...

C55-22a-270353The DOE Office of Nuclear Physics (NP) seeks new developments in detector electronics with significantly improved energy, position, timing resolution, sensitivity, rate capability, stability, dynamic range, and background suppression. Applications are sought to develop high channel density (>=256 channels/board) digital data acquisition system with >= 100 MSPS, >=12 bit ADC informati ...

C55-18a-270355Synchrotron light sources have continuously and impressively grown in brightness and beam quality since their inception in 1947 at General Electric in upstate New York [1]. Indeed, we are at the point where X-ray synchrotron light sources have been optimized to the Diffraction Limit and Free Electron Lasers (FEL) have been fully developed. Nonetheless, ongoing manufacturing and metro ...

C55-09a-270378Time-resolved circular dichroism spectroscopy has increasingly been used to probe the dynamic spin states of advanced materials like metal-halide perovskites and spintronic semiconductors. Conventional spectroscopic techniques, however, average thousands of non-sequential left-handed and right-handed circularly polarized spectra together before generating a circular dichroism spectru ...

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 ...

Our warming climate is amplifying environmental and human health problems in urban areas. Heat island effects, flooding, droughts, altered pollutant transport patterns, and human respiratory stress are examples of interactions between macro- and micro-climates that impact urban areas. The share of the global population living in cities is expected to rise to 80% by 2050, compared to 55% today. Emi ...