Faure, Quentin | Search NASA

DOE OSTI2023

Absence of localized 5⁢𝑑 1 electrons in KTaO 3 interface superconductors

Recently, an exciting discovery of orientation-dependent superconductivity was made in two-dimensional electron gas (2DEG) at the interfaces of LaAlO 3 /KTaO 3 (LAO/KTO) and EuO/KTaO 3 (EuO/KTO). The superconducting transition temperature can reach a T c of up to ∼2.2 K, which is significantly higher than its 3d counterpart LaAlO 3 /SrTiO 3 (LAO/STO) with a T c of ∼0.2 K. However, the underlying origin remains to be understood. To uncover the nature of electrons in KTO-based interfaces, we employ x-ray absorption spectroscopy (XAS) and resonant inelastic x-ray spectroscopy (RIXS) to study LAO/KTO and EuO/KTO with different orientations. We reveal the absence of dd orbital excitations in all the measured samples. Our RIXS results are well reproduced by calculations that considered itinerant 5d electrons hybridized with O 2p electrons. This suggests that there is a lack of localized Ta 5d 1 electrons in KTO interface superconductors, which is consistent with the absence of magnetic hysteresis observed in magnetoresistance (MR) measurements. Further, these findings offer new insights into our understanding of superconductivity in Ta 5d interface superconductors and their potential applications.

75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND↗

DOE OSTI2023

Fuel performance uncertainty quantification and sensitivity analysis in the presence of epistemic and aleatoric sources of uncertainties

Fuel performance modeling and simulation includes many uncertain parameters from models to boundary conditions, manufacturing parameters and material properties. These parameters exhibit large uncertainties and can have an epistemic or aleatoric nature, something that renders fuel performance code-to-code and code-to-measurements comparisons for complex phenomena such as the pellet cladding mechanical interaction (PCMI) very challenging. Additionally, PCMI and other complex phenomena found in fuel performance modeling and simulation induce strong discontinuities and non-linearities that can render difficult to extract meaningful conclusions form uncertainty quantification (UQ) and sensitivity analysis (SA) studies. In this work, we develop and apply a consistent treatment of epistemic and aleatoric uncertainties for both UQ and SA in fuel performance calculations and use historical benchmark-quality measurement data to demonstrate it. More specifically, the developed methodology is applied to the OECD/NEA Multi-physics Pellet Cladding Mechanical Interaction Validation benchmark. A cold ramp test leading to PCMI is modeled. Two measured quantities of interest are considered: the cladding axial elongation during the irradiations and the cladding outer diameter after the cold ramp. The fuel performance code used to perform the simulation is FAST. The developed methodology involves various steps including a Morris screening to decrease the number of uncertain inputs, a nested loop approach for propagating the epistemic and aleatoric sources of uncertainties, and a global SA using Sobol indices. The obtained results indicate that the fuel and cladding thermal conductivities as well as the cladding outer diameter uncertainties are the three inputs having the largest impact on the measured quantities. More importantly, it was found that the epistemic uncertainties can have a significant impact on the measured quantities and can affect the outcome of the global sensitivity analysis.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

DOE OSTI2022

Quentin Faure Internship Report

During the internship, the student has studied and modeled hydrogen diffusion, desorption, and adsorption in ZrH and YH using Bison. The student will move towards coupling the model developed in Bison for hydrogen migration to the neutronic response obtained from Griffin for the unit cell of a prototypical microreactor. Due to the length of the report being short, only a small part of the YH modeling is being presented here.

36 MATERIALS SCIENCE↗