Philip J. Smith

University of Utah — United States

Engineering · Physical Sciences

47h-index13.1kcitations540works4.62yr avg
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Research Topics

Combustion and flame dynamics(87), Thermochemical Biomass Conversion Processes(67), Meteorological Phenomena and Simulations(64), Climate variability and models(51), Tropical and Extratropical Cyclones Research(50)

Publications540 total

The Effects of Artificial Intelligence Assistants on the Acquisition of Laparoscopic Surgical Spatial Navigation Skills
2025
Validation and Uncertainty Quantification of a digital model for an oxy-coal combustion power unit using Bayesian-based analysis
Energy·2025· 1 cited
Using Bayesian analysis to quantify and reduce uncertainty in experimental measurements — A narrow-angle radiometer case study
Measurement Energy·2025· 1 citedOpen Access
Cognitive Systems Engineering Issues in the Design of Machine Learning Systems
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2024· 3 cited
An approachable problem for the Bayesian analysis of a variety of uncertainties in hierarchical physical models
2024Open Access
Does using artificial intelligence assistance accelerate skill decay and hinder skill development without performers’ awareness?
Cognitive Research Principles and Implications·2024· 38 citedOpen Access
Climate change—so what should we do about it?
Frontline Gastroenterology·2024Open Access
Improved spatial understanding of induced seismicity hazard from the discretization of a curved fault surface
Computational Geosciences·2024· 2 cited
Use of Human-Automation Taxonomies for System Modeling
Journal of Cognitive Engineering and Decision Making·2024· 1 cited
Validation and Uncertainty Analysis of a Digital Model for an Oxy-Fuel Power Unit Using Bayesian Methods
SSRN Electronic Journal·2024Open Access
CCDC 2213977: Experimental Crystal Structure Determination
The Cambridge Structural Database·2023Open Access
Use of Trajectory Option Sets to Support Collaborative Constraint Propagation
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2023
Cognitive Systems Engineering at 40, Part I: Deriving Theory from Practice
Proceedings of the Human Factors and Ergonomics Society Annual Meeting·2023
Strengthening the US Department of Energy’s Recruitment Pipeline: The DOE/NNSA Predictive Science Academic Alliance Program (PSAAP) Experience
Practice and Experience in Advanced Research Computing·2023Open Access
On the Path to Least Principal Stress Prediction: Quantifying the Impact of Borehole Logs on the Prediction Model
2023· 1 cited
CCDC 2152824: Experimental Crystal Structure Determination
The Cambridge Structural Database·2023Open Access
Atikokan Digital Twin, Part B: Bayesian decision theory for process optimization in a biomass energy system
Applied Energy·2023· 20 citedOpen Access
Are you not moved? Incorporating Sensorimotor Knowledge to Improve Metaphor Detection
2023Open Access
Integrated Automation Support for Pre-Departure Reroutes
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)·2022
Industrial battery operation and utilization in the presence of electrical load uncertainty using Bayesian decision theory
Journal of Energy Storage·2022· 18 citedOpen Access
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Frequent Co-authors

L.D. Smoot(6), Alessandro Parente(6), Jeremy N. Thornock(6), Anthony R. Lupo(5), Benjamin Isaac(5), James C. Sutherland(4), Leonardo Tognotti(3), Sean T. Smith(3), C. Elaine McCoy(2), Charles Layton(2), A.S. Jamaluddin(2), David O. Lignell(2), Jacqueline H. Chen(2), Stuart Findlay(2), Judy L. Meyer(2), Yuxin Wu(2), Jiansheng Zhang(2), Jack W. Smith(2), Paul O. Hedman(2), Steven J. Shute(2)