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We present a computational framework for high-performance tensor contractions on GPUs.
In this paper, we present a computational framework for computational design and additive manufacturing of free-form periodic metasurfaces.
We present a computational framework for conceptual blending, a concept invention method that is advocated in cognitive science as a fundamental and uniquely human engine for creative thinking.
We present a computational framework for robust and reliability based design optimization which combines stochastic expansion methods, namely polynomial chaos expansion, with design sensitivity analysis.
We present a computational framework for Bayesian statistical inference of target genes of multiple interacting TFs from high-throughput gene expression time-series data.
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