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Full-Text Articles in Engineering
Cyber-Physical Systems Security Introductory Course For Stem Students, Sin Ming Loo, Liljana Babinkostova
Cyber-Physical Systems Security Introductory Course For Stem Students, Sin Ming Loo, Liljana Babinkostova
Electrical and Computer Engineering Faculty Publications and Presentations
We are witnessing the rapid development and adoption of Cyber-Physical Systems (CPS). CPS refers to the integration of digital and internetworked components, and physical devices in systems that affect nearly everyone in society. These devices are always connected to the internet. This connectivity gives CPS devices the capability of being in continuous monitoring mode where data and information are delivered to device owners through a proxy server. These capabilities open up all kinds of security issues for a device that has been built with such features with little regard for security considerations. At present, many Science, Technology, Engineering, and Mathematics …
Perspective On Coarse-Graining, Cognitive Load, And Materials Simulation, Eric Jankowski, Nealee Ellyson, Jenny W. Fothergill, Michael M. Henry, Mitchell H. Leibowitz, Evan D. Miller, Mone't Alberts, Jamie D. Guevara, Chris D. Jones, Mia Klopfenstein, Kendra K. Noneman, Rachel Singleton, Matthew L. Jones
Perspective On Coarse-Graining, Cognitive Load, And Materials Simulation, Eric Jankowski, Nealee Ellyson, Jenny W. Fothergill, Michael M. Henry, Mitchell H. Leibowitz, Evan D. Miller, Mone't Alberts, Jamie D. Guevara, Chris D. Jones, Mia Klopfenstein, Kendra K. Noneman, Rachel Singleton, Matthew L. Jones
Materials Science and Engineering Faculty Publications and Presentations
The predictive capabilities of computational materials science today derive from overlapping advances in simulation tools, modeling techniques, and best practices. We outline this ecosystem of molecular simulations by explaining how important contributions in each of these areas have fed into each other. The combined output of these tools, techniques, and practices is the ability for researchers to advance understanding by efficiently combining simple models with powerful software. As specific examples, we show how the prediction of organic photovoltaic morphologies have improved by orders of magnitude over the last decade, and how the processing of reacting epoxy thermosets can now be …