An Interactive 3D Visualization Tool for Large Scale Data Sets for Quantitative Atom Probe Tomography
Hari Dahal, Michael Stukowski, Matthias J. Graf, Alexander V. Balatsky, and Krishna Rajan

TL;DR
This paper introduces an open-source, interactive 3D visualization tool for large-scale atom probe tomography data that supports parallel processing and real-time quantitative analysis, enhancing materials research capabilities.
Contribution
The work presents a novel open-source visualization software that enables parallel rendering and real-time analysis of large atom probe tomography datasets.
Findings
Supports parallel rendering on GPU and script interfaces
Enables real-time quantitative analysis of large datasets
Facilitates codesign in materials science research
Abstract
Several visualization schemes have been developed for imaging materials at the atomic level through atom probe tomography. The main shortcoming of these tools is their inability to parallel process data using multi-core computing units to tackle the problem of larger data sets. This critically handicaps the ability to make a quantitative interpretation of spatial correlations in chemical composition, since a significant amount of the data is missed during subsequent analysis. In addition, since these visualization tools are not open-source software there is always a problem with developing a common language for the interpretation of data. In this contribution we present results of our work on using an open-source advanced interactive visualization software tool, which overcomes the difficulty of visualizing larger data sets by supporting parallel rendering on a graphical user interface…
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