COMPOSITIONS AND METHODS RELATING TO MOLECULAR CERIUM-OXIDE NANOCLUSTERS

    公开(公告)号:US20210238207A1

    公开(公告)日:2021-08-05

    申请号:US17051904

    申请日:2019-05-03

    Abstract: Described herein are compositions and methods relating to molecular cerium-oxide nanoclusters. Described herein are methods of producing cerium-oxide nanoclusters. Described herein are cerium-oxide nanoclusters. Further described herein are cerium-oxide nanoclusters produced by methods as described herein. Methods as described herein can comprise providing a first cerium source, an organic acid, and a solvent; and mixing the cerium source and the organic acid in the presence of a solvent to create a reaction mixture at a temperature and a pressure for a period of time to create a composition of molecular cerium-oxide nanoclusters containing a plurality of molecular cerium-oxide nanoclusters.

    System and method for analysis of fissionable materials by multispectral active neutron interrogation analysis

    公开(公告)号:US11079512B2

    公开(公告)日:2021-08-03

    申请号:US16296588

    申请日:2019-03-08

    Abstract: The detection and assay of fissionable material is carried out on a container known or suspected to have a material with at least one fissionable isotope. The material is irradiated with neutrons from two or more different neutron sources. The fission rates inducted at each irradiation energy are acquired with at least one neutron detector. A multispectral active neutron interrogation analysis (MANIA) is carried out to compare the detected fission rates of the neutron spectra with calculated fission rates where an iterative algorithm is carried out on a system of linear equations to solve for the isotopic composition of one or more isotopes to determine the presence, identity, and quantities of fissionable isotopes in said container.

    Neural network evolution using expedited genetic algorithm for medical image denoising

    公开(公告)号:US11069033B2

    公开(公告)日:2021-07-20

    申请号:US16558779

    申请日:2019-09-03

    Inventor: Ruogu Fang Peng Liu

    Abstract: Various embodiments for image denoising using a convolutional neural network (CCN) are described. A system may include at least one computing device and program instructions stored in memory and executable in the at least one computing device that, when executed, direct the at least one computing device to implement a genetic algorithm (GA) routine that identifies and optimizes a plurality of hyperparameters for use in denoising an image using the convolutional neural network. An image may be denoised using the convolutional neural network, where the image is denoised using the hyperparameters identified and optimized in the genetic algorithm routine.

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