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Mathematics & Statistics

Modeling & simulation research

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Displaying 51 - 75 of 904

Category Theory

January 25, 2023
Author(s)
Spencer Breiner, Eswaran Subrahmanian, Ram Sriram
Category theory (CT) is a branch of mathematics concerned with the representation and composition of structured relationships. Recent interest in systems engineering (SE) stems from the possibility that CT might provide a principled mathematical foundation

Encouraging and Enabling Mutual Ownership in a RSE Community of Practice

November 21, 2022
Author(s)
Miranda Mundt, Jonathan Bisila, Jonathan E. Guyer, Daniel Howard, Daniel S. Katz, Reed Milewicz, Henry Schreiner, Joshua Teves, Chris Wiswell
The explosion of Research Software Engineers (RSEs) in the United States created the opportunity to form communities of practice (CoP), groups which share a passion for an activity and learn how to do it better as they interact regularly, specifically to

On-grid compressive sampling for spherical field measurements in acoustics

October 18, 2022
Author(s)
Alex Yuffa, Marc Valdez, Michael Wakin
We derive a theoretically guaranteed compressive sensing method for acoustic field reconstructions using spherical field measurements on a predefined grid. This method can be used to reconstruct sparse band-limited spherical harmonic or Wigner $D$-function

Derivable genetic programming for two-dimensional colloidal materials

September 21, 2022
Author(s)
Nathan Mahynski, Bliss Han, Daniel Markiewitz, Vincent K. Shen
We describe a method for deriving surface functionalization patterns for colloidal systems that can induce self-assembly into any chosen periodic symmetry at a planar interface. The result is a sequence of letters, s ∈ A,T,C,G}, or a gene, that describes

Leveraging Theory for Enhanced Machine Learning

August 26, 2022
Author(s)
Debra Audus, Austin McDannald, Brian DeCost
The application of machine learning to the materials domain has traditionally struggled with two major challenges: a lack of large, curated data sets and the need to understand the physics behind the machine-learning prediction. The former problem is

Investigating Statistical Correlation Between Multiple In-Situ Monitoring Datasets for Powder Bed Fusion Additive Manufacturing

August 24, 2022
Author(s)
Zhuo Yang, Yan Lu, Milica Perisic, Yande Ndiaye, Adnan Gujjar, Fan-Tien Cheng, Haw-Ching Yang
In-situ measurements provide vast information for additive manufacturing process understanding and real-time control. Data from various monitoring techniques observes different characteristics of a build process. Fusing multi-modal in-situ monitoring data

Towards an Integrated Simulation Platform for Internet of Vehicles

August 11, 2022
Author(s)
Xing Liu, Wei Yu, Cheng Qian, David W. Griffith, Nada T. Golmie
The interconnection and digitization of the physical world has increased dramatically with the widespread deployment of network communication and the rapid development of the Internet of Things (IoT). Application scenarios and requirements in IoT are more