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Open Access

Similarity-Based 3-D Atmospheric Nucleation Data Visualization and Analysis

Department of Computer Science, University of The Pacific, Stockton, CA 95211, USA
Department of Computer Science, University of California, Davis, CA 95616, USA
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Abstract

Atmospheric nucleation is a process of phase transformation, which serves a significant role in many atmospheric and technological processes. To simulate atmospheric nucleation activities, certain molecular models with three-dimensional (3-D) structures are generated. Analyzing these 3-D molecular models can help promote understanding of nucleation processes. Unfortunately, the ability to understand atmospheric nucleation processes is greatly restricted due to lack of efficient visual data exploration tools. In this paper, we present a data visualization solution to visualize and classify 3-D molecular crystals. We developed a novel algorithm for calculating similarity between the 3-D molecular crystals, and further improved the overall system performance with GPU (graphics processing unit) acceleration.

Keywords

atmospheric nucleationsimilarity calculationGPU3-D molecular models

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Tsinghua Science and Technology
Volume 18 Issue 2,
April 2013
Pages 137-144
DOI: 10.1109/TST.2013.6509097
Cite this article:
Zhu K, Liu Y, Aboagye AG, et al. Similarity-Based 3-D Atmospheric Nucleation Data Visualization and Analysis. Tsinghua Science and Technology, 2013, 18(2): 137-144. https://doi.org/10.1109/TST.2013.6509097

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Received: 04 March 2013
Accepted: 11 March 2013
Published: 30 April 2013
© The author(s) 2013
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