Oregon State University

Georgetown University

Steven Richard Reese

Ophir Frieder

Jessica Ryan Curtis

Todd Stephen Palmer

Mario Enrique Gomez Fernandez

Stephen Todd Keller

Abdulsalam M Alhawsawi

Kendon R Shirley

Madicken Munk

A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

Apparatus and process for optimizing radiation detection counting times using machine learning

A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.

Method and apparatus for real-time learning-based augmented irradiation control and optimization

A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving an output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

An apparatus is disclosed herein comprising one or more optically reflective materials, one or more electrodes, one or more photodetecting materials, and one or more substrates. At least one optically reflective material is electrically insulating, and the electrodes are positioned adjacent to the insulating optically reflective material. Additionally, the photodetecting materials are positioned on the substrates and are adjacent to the one or more electrodes. A method is disclosed comprising providing one or more photodetecting materials positioned on one or more substrates, placing one or more electrodes adjacent to the photodetecting materials, and placing one or more optically reflective materials adjacent to the electrodes and/or substrate. At least one optically reflective material is electrically insulating, and the insulating optically reflective material is placed adjacent to the electrodes. A method is also disclosed comprising providing an apparatus as above and using the apparatus.

Photo sensor for use as a radiation detector and power supply and method for making and using the device

An isotope production target may include an outer diameter wall and an inner diameter wall. An isotope source may be located between the inner diameter wall and the outer diameter wall, and the isotope source may comprise fissile material interspersed with one or more voided regions. A central region may be located within the inner diameter wall, and the central region may be configured to house a neutron thermalization volume.

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Corvallis, OR, United States of America

Steven Richard Reese