Time-varying volume data is often generated from scientific simulations in a variety of
application domains, such as computational fluid dynamics, combustion science, and …

Today's supercomputing capabilities allow ocean scientists to generate simulation data at
increasingly higher spatial and temporal resolutions. However, I/O bandwidth and data …

We propose VDL-Surrogate, a view-dependent neural-network-latent-based surrogate
model for parameter space exploration of ensemble simulations that allows high-resolution …

We present a novel image-based representation to interactively visualize large and
arbitrarily structured volumetric data. This image-based representation is created from a …

Statistical data summarization can significantly reduce the data storage footprint for large-
scale scientific simulations while maintaining data accuracy. However, the high-resolution …

The use of distribution-based data representation to handle large-scale scientific datasets is
a promising approach. Distribution-based approaches often transform a scientific dataset …

直接体绘制广泛应用于可视化领域, 其中传输函数决定了最终绘制的效果. 大规模爆炸数据属于
复杂的时变数据, 其压力场的取值范围和分布会随时间剧烈变化. 为了实现对冲击波传播特征的 …

Recently, ensemble simulations have been frequently used in various scientific domains,
including cosmology, oceanography, and fluid dynamics. To model scientific phenomena …

透過基於分布的資料表示法來處理大規模的科學資料集是一種新興且相當有潛力的方法.
這種資料表示法基本上是將科學資料集轉換為許多分布來表示, 並且每個分布皆由少量的樣本 …

Scientific ensemble data sets have played increasingly more important roles for uncertainty
quantification in various scientific and engineering domains, such as climate, weather …