Tiernan Casey

ORCID: 0000-0003-0846-2405
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About
Contact & Profiles
Research Areas
  • Combustion and flame dynamics
  • Magnetic confinement fusion research
  • Model Reduction and Neural Networks
  • Particle Dynamics in Fluid Flows
  • Combustion and Detonation Processes
  • Nuclear reactor physics and engineering
  • Advanced Combustion Engine Technologies
  • Fluid Dynamics and Turbulent Flows
  • Particle accelerators and beam dynamics
  • Aerodynamics and Acoustics in Jet Flows
  • Gaussian Processes and Bayesian Inference
  • Fusion materials and technologies
  • Lightning and Electromagnetic Phenomena
  • Mass Spectrometry Techniques and Applications
  • Coagulation and Flocculation Studies
  • Superconducting Materials and Applications
  • Atomic and Molecular Physics
  • Insurance, Mortality, Demography, Risk Management
  • Advanced Chemical Sensor Technologies
  • Nuclear Materials and Properties
  • Plasma Diagnostics and Applications
  • Machine Learning in Materials Science
  • Neural Networks and Applications
  • Plasma Applications and Diagnostics
  • Advanced Data Processing Techniques

Sandia National Laboratories California
2018-2024

Sandia National Laboratories
2021

University of California, Berkeley
2016-2018

King Abdullah University of Science and Technology
2013

Kansas City Public Library
2000

Bureau of Meteorology
2000

University of Michigan
1987

10.1016/j.cma.2022.115718 article EN publisher-specific-oa Computer Methods in Applied Mechanics and Engineering 2022-11-12

We introduce a modified tomographic PIV technique using four high-speed video cameras and scanning pulsed laser-volume. By rapidly illuminating adjacent subvolumes onto separate frames, we can resolve larger total volume of velocity vectors, while retaining good spatial resolution. demonstrate this by performing time-resolved measurements the turbulent structure round jet, up to 9 slices. In essence resolves more planes in depth direction maintaining optimal particle image density limiting...

10.1063/1.4790640 article EN Physics of Fluids 2013-02-01

This paper compares a number of probabilistic weather forecasting verification approaches. Forecasting skill scores from linear error in probability space and relative operating characteristics are compared with results an alternative approach that first transforms forecasts to yes/no form then assesses the model skill. requires certain departure between categorical forecast models its random expectation. The classical contingency table is revised reflect "nonapplicable" assessment. authors...

10.1175/1520-0434(2000)015<0080:vocpf>2.0.co;2 article EN Weather and Forecasting 2000-02-01

Current-voltage, or i–V, curves are used in combustion to characterise the ionic structure of flames. The objective this paper is develop a detailed modelling framework for quantitative prediction i–V methane/air Ion and electron transport coefficients were described using methods appropriate charged species interactions. An reaction mechanism involving cations, anions free electrons was used, together with up-to-date rate thermodynamic data. Because important role neutral ion production...

10.1080/13647830.2018.1468033 article EN Combustion Theory and Modelling 2018-05-22

Rapid growth in data, computational methods, and computing power is driving a remarkable revolution what variously termed machine learning (ML), statistical learning, artificial intelligence. In addition to highly visible successes machine-based natural language translation, playing the game Go, self-driving cars, these new technologies also have profound implications for experimental science engineering, as well exascale systems that Department of Energy (DOE) developing support those...

10.1177/10943420211029302 article EN The International Journal of High Performance Computing Applications 2021-09-27

In this work, we present a framework for the analysis and reduction of plasma mechanisms by means weighted directed graphs, in which reactions species are both treated as nodes. The methodology consists two distinct analyses. first, is qualitative, relies on graph spatializations via force-directed algorithms to discover predominant global patterns chemical model. second ranks based their shortest paths' lengths from/to interest relative contributions power balance. This quantitative...

10.1063/5.0142726 article EN Physics of Plasmas 2023-04-01

An air-core superconducting solenoid, with a diameter of 0.2 m and length 0.4 m, has been configured for use as heavy-ion reaction-product spectrometer (E/A≤5 MeV/u) near θ=0 °. The large solid angle (10–35 msr) properties suitable time-of-flight measurements flight paths ≳ 2 m. performance the was established using α-particle sources nuclear-reaction products from collisions. characteristics magnets are compared to those steel-yoke magnets. simplicity ease operation magnet, without...

10.1063/1.1139368 article EN Review of Scientific Instruments 1987-09-01

Telephone company customers reported audible noise in their telephone service. Through measurements, analysis, and simulations, 540 Hz was found to be coupling from power distribution cables a shared underground right-of-way. The source of the small single-phase electronic loads dispersed throughout system area. A passive shunt filter designed using an existing capacitor bank. Installation this reduced acceptable levels.

10.1109/61.871373 article EN IEEE Transactions on Power Delivery 2000-07-01

10.1016/j.proci.2018.06.190 article EN publisher-specific-oa Proceedings of the Combustion Institute 2018-07-31

Abstract A Bayesian inference strategy has been used to estimate uncertain inputs global impurity transport code (GITR) modeling predictions of tungsten erosion and migration in the linear plasma device, PISCES-A. This allows quantification GITR output uncertainty based on uncertainties measured PISCES-A electron density temperature profiles ( n e , T ) as GITR. The technique applied for comparison dedicated experiments performed high (4 × 10 22 m −2 s −1 low (5 21 flux 250 eV He–plasma...

10.1088/1741-4326/ac2bfa article EN Nuclear Fusion 2021-10-01

Deep operator networks (DeepONets) are powerful architectures for fast and accurate emulation of complex dynamics. As their remarkable generalization capabilities primarily enabled by projection-based attribute, we investigate connections with low-rank techniques derived from the singular value decomposition (SVD). We demonstrate that some concepts behind proper orthogonal (POD)-neural can improve DeepONet's design training phases. These ideas lead us to a methodology extension name...

10.48550/arxiv.2204.12670 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01

The dissociation of aligned, electronically excited H2 (E,F 1Σg+), followed by the ionisation produced H atom, is analysed via velocity mapped imaging technique. and processes are accomplished, respectively, a two- one-photon absorption from single 532-nm laser pulse, while alignment induced separate 1064-nm pulse. H+ photofragments shows weak perpendicular at low field values, evolving to strongly parallel for larger fields. We modelled this behaviour with simple two-state model involving...

10.1080/00268976.2020.1778200 article EN Molecular Physics 2020-06-12

The i-V curve describes the current drawn from a flame as function of voltage difference applied across reaction zone. Since combustion diagnostics and control strategies based on electric fields depend amount flames, there is significant interest in modeling understanding curves. We implement apply detailed model for simulation production transport ions electrons one dimensional premixed flames. An analytical reduced developed one, expressions are used to gain insight into characteristics...

10.48550/arxiv.1607.05266 preprint EN other-oa arXiv (Cornell University) 2016-01-01
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