7 Result(s)
within
Alessandro Greco
English
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Article
Open AccessReduced-order modelling for real-time physics-based variation simulation enhanced with adaptive sampling and optimized interpolation
Manufacturing industries require a right-first-time paradigm to remain competitive. Variation simulation (VS) is a key tool to predict variation of the final shape of flexible assemblies, allowing to reduce de...
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Article
Open AccessComplexity-driven product design: part 1—methodological framework and geometrical complexity index
Modern industries are experiencing radical changes due to the introduction of high technological innovations. In this context, even more highly complex and customized products are required, increasing the need...
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Article
Pyrimidine de novo synthesis inhibition selectively blocks effector but not memory T cell development
Blocking pyrimidine de novo synthesis by inhibiting dihydroorotate dehydrogenase is used to treat autoimmunity and prevent expansion of rapidly dividing cell populations including activated T cells. Here we sh...
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Article
Open AccessFate map** of hematopoietic stem cells reveals two pathways of native thrombopoiesis
Hematopoietic stem cells (HSCs) produce highly diverse cell lineages. Here, we chart native lineage pathways emanating from HSCs and define their physiological regulation by computationally integrating experim...
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Article
Open AccessTracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data
Understanding the processes of perovskite crystallization is essential for improving the properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (GIXD) is a key technique for t...
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Open AccessKinetics and energetics of metal halide perovskite conversion reactions at the nanoscale
Understanding the kinetics and energetics of metal halide perovskite formation, particularly from the structural point of view at the nanoscale, is important for the advancement of perovskite devices. In parti...
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Open AccessDetermining the optimal number of independent components for reproducible transcriptomic data analysis
Independent Component Analysis (ICA) is a method that models gene expression data as an action of a set of statistically independent hidden factors. The output of ICA depends on a fundamental parameter: the nu...
