Publications

Aug, 2026

Conference Paper

Automated Analytical Electron Microscopy Workflows for Understanding Electrocatalyst Degradation

Aug, 2026

ORNL Report

Automated 4D X-ray Computed Tomography Registration and Flaw Tracking Across Interrupted Creep Testing of Additively Manufactured Steel

Aug, 2026

Journal

Deep learning‑based metal artefact reduction in X-ray computed tomography of TRISO fuel compacts

TRISO (TRi-structural ISOtropic) – compact-type micro-particle fuels – are next generation nuclear fuel compacts designed with safety in mind. Structural integrity and characterisation before and after irradiation are important to determine the performance of the fuel compacts under real reactor conditions. X-ray computed tomography can be an important tool for non-destruc…

Aug, 2026

ORNL Report

Printability and Mechanical Properties of LPBF Ni-Based 625 and 244 Alloys

The advanced materials and manufacturing technologies (AMMT) program is investigating two Ni-based alloys of interest to the nuclear industry, alloy 625, due to its acceptable high temperature properties and availability in various forms, and Haynes 244, a promising low Cr high strength alloys for molten salt applications. These two alloys were fabricated by laser powder b…

Jun, 2026

Journal

Using 2.5D super-resolution to improve flaw detection in metal additive manufacturing parts

Industrial X-ray computed tomography (XCT) enables non-destructive inspection of additively manufactured (AM) parts, but high-resolution scanning requires long acquisition times and significant computational resources, limiting throughput in production environments. Super-resolution techniques can recover high-resolution information from low-resolution scans, but existing…

May, 2026

Conference Paper

Regularizing INR with Diffusion Prior for Self-Supervised 3D Reconstruction OF Neutron Computed Tomography Data

Recently, generative diffusion priors have made huge strides as inverse problem solvers, including the ability to be adapted for inference on out-of-distribution data. Concurrently, implicit neural representations (INRs) have emerged as fast and lightweight inverse imaging solvers that are amenable to hybrid approaches that combine learned priors with traditional inverse p…

May, 2026

Conference Paper

Cross-Modal Guidance for Fast Diffusion-Based Computed Tomography

Diffusion models have emerged as powerful priors for solving inverse problems in computed tomography (CT). In certain applications, such as neutron CT, it can be expensive to collect large amounts of measurements even for a single scan leading to sparse data sets from which it is challenging to obtain high quality reconstructions even with diffusion models. One strategy to…

May, 2026

Journal

Optimization of Processing, Microstructure, and Hardness of an Al–Ce–Ni–Mn–Zr Alloy With Laser Additive Manufacturing

This study examines the processing behavior, microstructure, surface roughness, and hardness properties of an aluminum alloy containing 8.2 Ce, 4.5 Ni, 0.5 Mn, and 0.7 Zr (wt%) fabricated using laser powder bed fusion. Sixty samples were produced across a range of laser powers, scan speeds, and hatch spacings to evaluate their effect on porosity, hardness, and microstructu…

Apr, 2026

Journal

On the formation of swelling and related flaws in laser powder bed fusion

Process monitoring in laser powder bed fusion additive manufacturing can provide insights into stochastic anomalies, melt pool and plume dynamics, and part quality. Swelling, a build anomaly where overbuilt material protrudes through the powder layer after recoating, is readily detectable in post-recoat visible light images of the powder bed. This work identifies several o…

Apr, 2026

ORNL Report

Microstructure & Mechanical Properties of Scaled Thermally Aged LPBF 316H SS Builds

Mar, 2026

Conference Paper

Recent Advances on the Use of In Situ Monitoring as an Nondestructive Evaluation Tool for Additive Manufacturing Processes

Mar, 2026

Conference Paper

Deep Learning Super-Resolution X-Ray Computed Tomography Algorithms for Additive Manufacturing

Industrial X-ray computed tomography (XCT) is a nondestructive method for inspection and characterization of additively manufactured (AM) materials and parts. In practice, the resolution of XCT can be limited by factors such as detector binning, restricted field of view for large-scale objects, system blur, motion during scanning, and acquisition settings. These limitation…