Results 41 to 50 of about 3,450,202 (313)
A Review of Large-Scale Simulations of Microstructural Evolution during Alloy Solidification
Metals, 2023 During the past two decades, researchers have shown interest in large-scale simulations to analyze alloy solidification. Advances in in situ X-ray observations of the microstructural evolution of dendrites have shown defects that can be very costly for ...
Nicholas Cusato +2 more
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SCANPY: large-scale single-cell gene expression data analysis
Genome Biology, 2018 Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory ...
F. Wolf, Philipp Angerer, Fabian J Theis
semanticscholar +1 more source
Large Scale Distributed Simulation on the Grid [PDF]
Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006 The developmentof many complex siumulation applications requires collaborrrtive effortfrom reseachers with different domain knowledge and expertise,possibly at different locations. These simulations systems often require huge computing resources and data set, which may be geo- graphically distribyted, In ordr to support collaborative model development ...
Georgios Theodoropoulos 0001 +7 more
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A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Frontiers in Neuroinformatics, 2022 Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease. This process goes hand in hand with advancements in the theory of neuronal networks and increasing availability ...
Jasper Albers +16 more
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Large-scale simulations of clusters of galaxies [PDF]
AIP Conference Proceedings, 2001 We discuss some of the computational challenges encountered in simulating the evolution of clusters of galaxies. Eulerian adaptive mesh refinement (AMR) techniques can successfully address these challenges but are currently being used by only a few groups.
Ricker, P. M. +11 more
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An implementation architecture for crowd network simulations
International Journal of Crowd Science, 2020 PurposeCrowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for ...
Jialin Zou, Kun Wang, Hongbo Sun
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A mesoscopic model for large-scale simulation of pedestrian dynamics
Transportation Research Part C: Emerging Technologies, 2018 A mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships.
A. Tordeux +3 more
semanticscholar +1 more source
Nuclear Physics B, 2018 By employing the perturbative QCD (PQCD) factorization approach, we calculated the branching ratios, CP-violating asymmetries, the longitudinal and transverse polarization fractions and other physical observables of the thirteen charmless hadronic B¯s0 ...
Da-Cheng Yan, Xin Liu, Zhen-Jun Xiao
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Large-Scale Simulation of Shor’s Quantum Factoring Algorithm
Mathematics, 2023 Shor’s factoring algorithm is one of the most anticipated applications of quantum computing. However, the limited capabilities of today’s quantum computers only permit a study of Shor’s algorithm for very small numbers.
Dennis Willsch +4 more
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In situ data-driven adaptive sampling for large-scale simulation data summarization
ISAV@SC, 2018 Recent advancements in high-performance computing have enabled scientists to model various scientific phenomena in great detail. However, the analysis and visualization of the output data from such large-scale simulations are posing significant ...
Ayan Biswas +3 more
semanticscholar +1 more source