2022 review of data-driven plasma science
Data-driven science and technology offer transformative tools and methods to science. This
review article highlights the latest development and progress in the interdisciplinary field of …
review article highlights the latest development and progress in the interdisciplinary field of …
Needs, trends, and advances in scintillators for radiographic imaging and tomography
Z Wang, C Dujardin, MS Freeman… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
Perovskite nanocrystals stabilized in metal–organic frameworks for light emission devices
Metal halide perovskite nanocrystals are recent emerging light emitters with high emission
quantum yields and wide color tunability from the ultraviolet to near infrared regions …
quantum yields and wide color tunability from the ultraviolet to near infrared regions …
Dose-efficient in vivo X-ray phase contrast imaging at micrometer resolution by Bragg magnifiers
R Spiecker, P Pfeiffer, A Biswal, M Shcherbinin… - Optica, 2023 - opg.optica.org
X-ray imaging enables the study of morphodynamic and physiological processes in living
organisms. However, the required photon flux increases with the desired spatial resolution …
organisms. However, the required photon flux increases with the desired spatial resolution …
Potential of edge machine learning for instrumentation
New developments in radiation and photonic detectors improve resolution, sensitivity, size,
and rate, all of which contribute to a gigantic increase in the data production rate. Moving …
and rate, all of which contribute to a gigantic increase in the data production rate. Moving …
Efficient compression at the edge for real-time data acquisition in a billion-pixel x-ray camera
Recent advances in radiation detectors have significantly improved the resolution and frame
rate of X-ray imaging systems at the cost of large data throughputs that can be challenging to …
rate of X-ray imaging systems at the cost of large data throughputs that can be challenging to …
Exploring machine learning to hardware implementations for large data rate x-ray instrumentation
MM Rahimifar, Q Wingering… - Machine Learning …, 2023 - iopscience.iop.org
Over the past decade, innovations in radiation and photonic detectors considerably
improved their resolution, pixel density, sensitivity, and sampling rate, which all contribute to …
improved their resolution, pixel density, sensitivity, and sampling rate, which all contribute to …
Simulation and design of a burst mode 20Mfps global shutter high conversion gain CMOS image sensor in a standard 180nm CMOS image sensor process using …
A sequential transfer-gate and photodiode optimization method for CMOS Image sensors
are described in this paper, which enables the design of large-scale ultra-high-speed burst …
are described in this paper, which enables the design of large-scale ultra-high-speed burst …
Physics-informed meta-instrument for experiments (pimix) with applications to fusion energy
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to
integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data …
integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data …
Ultrafast CMOS image sensors and data-enabled super-resolution for multimodal radiographic imaging and tomography
We summarize recent progress in ultrafast Complementary Metal Oxide Semiconductor
(CMOS) image sensor development and the application of neural networks for post …
(CMOS) image sensor development and the application of neural networks for post …