A5065160500- Magnetic confinement fusion research
- Nuclear reactor physics and engineering
- Scientific Computing and Data Management
- Particle accelerators and beam dynamics
- Data-Driven Disease Surveillance
- Innovative Microfluidic and Catalytic Techniques Innovation
- Ionosphere and magnetosphere dynamics
- Earthquake Detection and Analysis
- Machine Learning in Materials Science
- Fusion materials and technologies
- GNSS positioning and interference
- Computational Physics and Python Applications
Google (United States)
2021-2024
Chemical reaction data in journal articles, patents, and even electronic laboratory notebooks are currently stored various formats, often unstructured, which presents a significant barrier to downstream applications, including the training of machine-learning models. We present Open Reaction Database (ORD), an open-access schema infrastructure for structuring sharing organic data, centralized repository. The ORD supports conventional emerging technologies, from benchtop reactions automated...
Abstract The ionosphere is a layer of weakly ionized plasma bathed in Earth’s geomagnetic field extending about 50–1,500 kilometres above Earth 1 . ionospheric total electron content varies response to space environment, interfering with Global Satellite Navigation System (GNSS) signals, resulting one the largest sources error for position, navigation and timing services 2 Networks high-quality ground-based GNSS stations provide maps correct these errors, but large spatiotemporal gaps data...
We determined the time-dependent geometry, including high-frequency oscillations, of plasma density in TAE's C-2W experiment [Gota et al., Nucl. Fusion 59, 112009 (2019)]. This was done as a joint Bayesian reconstruction from 14-chord FIR interferometer midplane, 32 Mirnov probes at periphery, and 8 shine-through detectors targets neutral beams. For each point time, we recovered, with credibility intervals, radial profile plasma; bulk displacement; amplitudes, frequencies, phases azimuthal...