Ralph C. Smith

Ralph C. Smith is affiliated with North Carolina State University in the United States. Their research spans multiple domains within engineering, with a primary focus on uncertainty quantification and materials science. The scientist's work covers topics such as probabilistic and robust engineering design, nuclear reactor physics and engineering, model reduction and neural networks, radiation detection and scintillator technologies, machine learning in materials science, computational drug discovery methods, and protein structure and dynamics.

Their main fields of study include engineering with significant contributions to aerospace engineering, statistics, probability and uncertainty, computational theory and mathematics, statistical and nonlinear physics, and computational mechanics. These areas reflect a broad interdisciplinary approach integrating computational and statistical methodologies with applied engineering problems.

Ralph C. Smith has published several recent papers in peer-reviewed journals and conference venues, including:

• "Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations," 2020, Nuclear Technology
• "The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures," 2021, Journal of Intelligent Material Systems and Structures
• "Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling," 2024, Mathematical Biosciences
• "A hierarchical Bayesian model for background variation in radiation source localization," 2021, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment
• "Effects of problem complexity reduction on parameter sensitivity and classification in charring ablator scenarios," 2022, Aerospace Science and Technology

The scientist's frequent co-authors include Mansoor A. Haider, Paul Miles, Alyson G. Wilson, William S. Oates, and Jared A. Cook. Their collaborative efforts are documented across multiple publications, indicating ongoing partnerships in research projects.

Ralph C. Smith's publication record features repeated contributions to venues such as arXiv (Cornell University), AIAA SCITECH 2023 Forum, Journal of Intelligent Material Systems and Structures, Nuclear Technology, and Bulletin of Mathematical Biology.

In addition to articles, the scientist has authored a book published by the Society for Industrial and Applied Mathematics: Uncertainty Quantification: Theory, Implementation, and Applications, Second Edition (2024), which has been cited in various works in the field.

Recognition of their work includes the SIAM Fellow award in 2018, granted for contributions to uncertainty quantification and materials science.