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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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An Isolated Bidirectional DC-DC Converter with High Voltage Conversion Ratio and Reduced Output Current Ripple.
Abstract not provided.
Verification and Performance Impact of the New Parallel MCNP6.3 Particle Track Output Capability for Subcritical Multiplication Simulations [Slides]
A separate MCNP6.3 V&V document reports on all the default calculations for all test suites. This report does not include the subcritical multiplication benchmark suite. After some additional clean-up and finalizing the post-processing and documentation steps, the subcritical multiplication benchmark suite will be released in the next version of our vnvstats repository. We tested the new HDF5 PTRAC feature in MCNP6.3 and found encouraging outcomes. Identical results coming out of the simulation with respect to the legacy PTRAC results. The overall runtime for all simulations is reduced by ~20% with the new HDF5 PTRAC capability. We consider giving the new HDF5 PTRAC features a try and using it for all subcritical multiplication and any other relevant (PTRAC) calculations.
Optimization and Physics Informed AI/ML on the Cooling Tower Power Output and the One-Dimensional Model
Graduate Research at Missouri S&T Thesis: Theoretical Study of Magnetic Particles in a Shear Flow Subjected to a Uniform Magnetic Field. • Published several journal articles. • Presented at the Indiana University Purdue University Indianapolis graduate seminar. • Presented research findings at American Physical Society: Division of Fluid Dynamics and poster sessions at Missouri S&T for the Chancellor's Distinguished Fellowship.
Time Dilated Bundt Cake Analysis of PV Output
Model power generation of a PV system with seasonal variation
Extrapolating Dynamic Transfer Functions from Multiple-Input Multiple-Output Vibration Testing and Simulation (EDTF) [Slides]
Abstract not provided.
AMC Output Analysis Tool
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Simulating Output Currents in Gas-Filled Cylindrical Photoemission Driven Cavities
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MOOSE-Workbench integration and MOOSE meshing capability enhancements to facilitate inputs and outputs for multiphysics modeling
The Multiphysics Object-Oriented Simulation Environment (MOOSE) is an open-source framework that supports many of the US Department of Energy’s (DOE’s) Nuclear Energy Advanced Modeling and Simulation (NEAMS) technical areas (TA). These TAs develop and use NEAMS physics and coupling modules in multiple ways to enable the research and development of complex physics models. In addition to the MOOSE framework, the NEAMS Workbench user interface provides a common analysis environment with user-interaction accelerators that streamline the tasks of model creation, review, execution, and out put inspection. In FY 2024, objectives were realized in the MOOSE framework application development support and user-oriented improvements. Application development improvements support both developers and users with an expanded Reactor Module and Mesh System, stateful material property support for mortar contact, and customizable convergence criteria. Additionally, new user-oriented features were implemented in the MOOSE framework language server, including autocompletion snippets, definition from source and find reference navigations, and syntax overrides. Lastly, improvements were made to the input interpreter necessary to support the MOOSE language server and the NEAMS Workbench so that they can interact with syntactically incomplete user inputs. These improvements and more were intended to address stakeholder feedback and improve developer and user ability to conduct advanced nuclear energy modeling and simulation in support of DOE and industry needs.
Leveraging Python for Enhanced MCNP Input and Output Management [Slides]
Abstract not provided.
Derivative-Based Global Sensitivity Analysis for Modelswith High-Dimensional Inputs and Functional Output
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Development of the CMS Phase2 Outer Tracker Analyzer Of Test Outputs (POTATO) software
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Applying AI to Help Predict Solar Power Output Over Time
Poster with results from ongoing research on re-training pv-vision to segment images of solar modules. Presenting at the Sandia Analytics for Climate, Energy, and Earth Sciences (ACEES) 2025 Symposium.
Optical Imaging of Pulsed Power Outputs for Diode Performance and Dose Variation Analysis
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Assessing assumption importance to model outputs for prediction and validation
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Erratum to The Scaling and Units of the Elastic Response Term for Rayleigh Waves that is Output by Computer Programs in Seismology (CPS)
This erratum corrects two notational errors and disambiguates a statement in the original article. These corrections apply to equations that follow Equation 9 in the text of the original.
Towards Trustworthy Data-Driven Closure Models - Incorporating Input and Output Uncertainties in Neural Networks
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