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Tutchton, Roxanne M'liss

Publications and source records attributed to Tutchton, Roxanne M'liss.

8 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2024

Spacecraft surface charging as a function of material properties

Spacecraft material behavior plays a very important role in space missions. Spacecraft immersed in plasma get charged by absorbing plasma particles and by emitting electrons from spacecraft surfaces via photoelectron and secondary electron emission. Spacecraft charging depends heavily on material properties such as work function, secondary electron yield, dielectric constant, and electric conductivity among other. Material properties are typically assumed to be static in charging models. However, it is well known that this is not the case in space. This makes spacecraft charging predictions very challenging. Material properties are well characterized before the spacecraft is put in orbit through characterization in the lab under clean conditions. However, once in space, material properties change due to the harsh and very dynamic space environment. We present a new capability to predict material behavior in space from first-principles modeling. The ongoing effort seeks to couple material models, density functional theory (DFT) and molecular dynamic (MD) codes, with environment models, plasma kinetic codes. This preliminary study will show results of surface charging as a function of material work function, dielectric constant, and conductivity.

36 MATERIALS SCIENCE↗
DOE OSTI2023

Building a DFT+U machine learning interatomic potential for uranium dioxide

Despite uranium dioxide (UO 2 ) being a widely used nuclear fuel, fuel performance models rely extensively on empirical correlations of material behavior, leveraging the historical operating experience of UO 2 . Mechanistic models that consider an atomistic understanding of the processes governing fuel performance (such as fission gas release and creep) will enable a better description of fuel behavior under non-prototypical conditions such as in new reactor concepts or for modified UO 2 fuel compositions. To this end, molecular dynamics simulation is a powerful tool for rapidly predicting physical properties of proposed fuel candidates. However, the reliability of these simulations depends largely on the accuracy of the atomic forces. Traditionally, these forces are computed using either a classical force field (FF) or density functional theory (DFT). While DFT is relatively accurate, the computational cost is burdensome, especially for f-electron elements, such as actinides. By contrast, classical FFs are computationally efficient but are less accurate. For these reasons, we report a new accurate machine learning interatomic potential (MLIP) for UO 2 that provides high-fidelity reproduction of DFT forces at a similar low cost to classical FFs. We employ an active learning approach that autonomously augments the DFT training data set to iteratively refine the MLIP. To further improve the quality of our predictions, we utilize transfer learning to retrain our MLIP to higher-accuracy DFT+U data. We validate our MLIPs by comparing predicted physical properties (e.g., thermal expansion and elastic properties) with those from existing classical FFs and DFT/DFT+U calculations, as well as with experimental data when available.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗
DOE OSTI2020

The transient properties of 2D magnets: from mechanical exfoliation to ultrafast optical spectroscopy of CrX 3 materials

The discovery of two-dimensional (2D) systems hosting intrinsic long-range magnetic order represents a seminal achievement, adding to the already diverse array of physics supported by layered van der Waals (vdW) materials. This finding has spurred great interest among the research community, with efforts aimed at uncovering their fundamental properties and light- matter interactions. A prototypical example of a 2D magnetic material is Crl 3 , where the strong relationship between crystalline structure and magnetic order, along with strong light- matter interactions, provide a promising platform to explore the nature of couplings between magnetism and the other degrees of freedom at the 2D limit. In this report, we highlight our efforts involving the use of time-resolved magneto-optical Kerr effect (TR-MOKE) spectroscopy to probe the magnetization and vibrational dynamics of Crl 3 . These measurements reveal evidence of strong exchange-mediated coupling between lattice vibrations and spin oscillations. Additionally, we discuss our related efforts to explore other material from the Chromium trihalide family through mechanical exfoliation to support subsequent optical spectroscopy investigations.

36 MATERIALS SCIENCE↗