Scaling digital twins from the artisanal to the industrial
Mathematical modeling and simulation are moving from being powerful development and
analysis tools towards having increased roles in operational monitoring, control and …
analysis tools towards having increased roles in operational monitoring, control and …
The deal. II finite element library: Design, features, and insights
Abstract deal. II is a state-of-the-art finite element library focused on generality, dimension-
independent programming, parallelism, and extensibility. Herein, we outline its primary …
independent programming, parallelism, and extensibility. Herein, we outline its primary …
The imperative of physics-based modeling and inverse theory in computational science
To best learn from data about large-scale complex systems, physics-based models
representing the laws of nature must be integrated into the learning process. Inverse theory …
representing the laws of nature must be integrated into the learning process. Inverse theory …
Concurrency and objects matter! Disentangling the fabric of real operational processes to create digital twins
WMP van der Aalst - Theoretical Aspects of Computing–ICTAC 2021: 18th …, 2021 - Springer
Process mining dramatically changed the way we look at process models and operational
processes. Even seemingly simple processes like Purchase-to-Pay (P2P) and Order-to …
processes. Even seemingly simple processes like Purchase-to-Pay (P2P) and Order-to …
[HTML][HTML] waLBerla: A block-structured high-performance framework for multiphysics simulations
Programming current supercomputers efficiently is a challenging task. Multiple levels of
parallelism on the core, on the compute node, and between nodes need to be exploited to …
parallelism on the core, on the compute node, and between nodes need to be exploited to …
[HTML][HTML] From FAIR research data toward FAIR and open research software
Abstract The Open Science agenda holds that science advances faster when we can build
on existing results. Therefore, research data must be FAIR (Findable, Accessible …
on existing results. Therefore, research data must be FAIR (Findable, Accessible …
Earth Systems to Anthropocene Systems: An Evolutionary, System-of-Systems, Convergence Paradigm for Interdependent Societal Challenges
Humans have made profound changes to the Earth. The resulting societal challenges of the
Anthropocene (eg, climate change and impacts, renewable energy, adaptive infrastructure …
Anthropocene (eg, climate change and impacts, renewable energy, adaptive infrastructure …
Reflective writing supports metacognition and self-regulation in graduate computational science and engineering
J Zarestky, M Bigler, M Brazile, T Lopes… - … and Education Open, 2022 - Elsevier
Abstract Computational Science and Engineering (CS&E) is a relatively new discipline for
which no consensus exists on how classes should best be taught. Many CS&E courses are …
which no consensus exists on how classes should best be taught. Many CS&E courses are …
Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall
The integrated behavior of the fluid flow, encompassing variation of some specific response,
has received more attention than mere examination of velocity and pressure distributions. A …
has received more attention than mere examination of velocity and pressure distributions. A …
lbmpy: Automatic code generation for efficient parallel lattice Boltzmann methods
M Bauer, H Köstler, U Rüde - Journal of Computational Science, 2021 - Elsevier
Lattice Boltzmann methods are a popular mesoscopic alternative to classical computational
fluid dynamics based on the macroscopic equations of continuum mechanics. Many variants …
fluid dynamics based on the macroscopic equations of continuum mechanics. Many variants …