Tresa M. Pollock

Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning

Umang Garg, Warren Zamudio, McLean P. Echlin, Samantha Daly et autres

Crystal-orientation maps are physical fields defined only up to crystal symmetry; electron backscatter diffraction (EBSD) resolves them experimentally, but acquisition-time constraints limit spatial resolution. Unlike conventional images, EBSD data lie on the quotient space $\mathrm{SO}(3)/G$, where $G$ is the crystal-symmetry group. Standard …

Non-negligible Influence of Bending Moments on Grain-Scale Mechanics

Justine M. Schulte, Dalton Shadle, Kelly Nygren, Matthew P. Miller et autres

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A Correlative Microscopy Dataset for Multimodal Data Fusion and Image Matching in Materials Science

Ali Riza Durmaz, James D. Lamb, Kamilla Zaripova, Madeline Vailhe et autres

Abstract Gaining understanding of process-structure-property relationships in materials at a mechanistic level relies on correlative microscopy workflows. These workflows, in turn, fundamentally depend on image matching, i.e., a computer vision task with the objective of finding point correspondences in pairs of images. …

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Additive Manufacturing‐Induced Deformation Mechanisms in Co–Ni Superalloys Revealed by Integration of 3D EBSD and In Situ Digital Image Correlation

J. Lamb, Evan B. Raeker, Leah H. Mills, Haydn Schroader et autres

Laser powder bed fusion (LPBF) additive manufacturing produces components with unique microstructural features that significantly differ from conventionally processed materials, including columnar grain structures, intragranular orientation gradients, and elevated dislocation densities. However, the relationship between these complex microstructural characteristics and mechanical behavior, …

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Coupled infrared imaging and multiphysics modeling reconstruct three-dimensional solidification dynamics during metal laser melting

Vijay Kumar, Kaitlyn M. Mullin, Hyunggon Park, Matthew Gerigk et autres

Abstract Laser heating during additive manufacturing (AM) induces extreme and transient thermal conditions which critically influence the microstructure evolution and part integrity. However, accurately resolving these conditions with sufficient spatiotemporal accuracy remains a central challenge. We demonstrate a unique approach that couples …

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Resolving Energy in EBSD: From 2D Kikuchi Patterns to Spectro-Crystallographic Maps

Nicolò Maria della Ventura, Kalani Moore, McLean P. Echlin, Tresa M. Pollock et autres

When electrons traverse a solid, they undergo elastic and inelastic scattering, interact with crystal structure, vibrating atoms, defects, and interfaces, and lose energy as they propagate through the material. The electrons that exit the sample carry information about all these interaction processes. …

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Foundation models for multimodal image data fusion in materials science

Ali Riza Durmaz, James D. Lamb, McLean P. Echlin, Tresa M. Pollock

This work comprehensively assesses the capabilities of recently emerging foundation models for multimodal image matching and registration in the materials science and engineering (MSE) domain. A distinctive feature in correlative materials microscopy is that the images, which need to be spatially associated, …

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Mining Multimodal Fatigue Data Using Reasoning Foundation Models and Formalized Domain Knowledge

Jyoti Prakash Mohanty, Akhil Thomas, Tresa M. Pollock, Ali Riza Durmaz

Abstract The scarcity and expense of fatigue data limits optimal design of components and constrains companies to a few well-qualified materials when safety-critical applications are concerned. This research investigates different strategies to improve extraction of structured information from unstructured scientific literature—to date …

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pyTriBeam: Open-Source Software for Enhanced 3D Data Collection in TriBeam Microscopes

Andrew T. Polonsky, J. Lamb, Chad Hovey, Haydn Schroader et autres

An open-source data collection platform for TriBeam microscopes that simplifies the process of building a collection experiment, metadata logging, and automated serial sectioning is presented. Microscope conventions and sample geometries for successful experiments are described, as well as a graphical user interface …

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FOUNDATION MODELS FOR MULTIMODAL IMAGE DATA FUSION IN MATERIALS SCIENCE

Ali Riza Durmaz, James D. Lamb, McLean P. Echlin, Tresa M. Pollock

This work comprehensively assesses the capabilities of recently emerging foundation models for multimodal image matching and registration in the materials science and engineering (MSE) domain. A distinctive feature in correlative materials microscopy is that the images, which need to be spatially associated, …

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Prediction of Nb–O Phase Stability and Analysis of Common Defects in BCC Nb and Vacancy-Ordered Rocksalt NbO

Colleen Reynolds, Tresa M. Pollock, Anton Van der Ven

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Cellular Solidification Structure in Laser Powder Bed Manufacturing of Superalloys

J. Lamb, Evan B. Raeker, Haydn Schroader, Nicolò Maria della Ventura et autres

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