Ralph Conover Smith

Bayesian inference informed by parameter subset selection for a minimal PBPK brain model

Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain PBPK Model

Bulletin of Mathematical Biology, 86(2).

Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling

MATHEMATICAL BIOSCIENCES, 370.

Controller Design for Distributed Parameter Systems

Smith, R. C. C. (2023, February). IEEE CONTROL SYSTEMS MAGAZINE, Vol. 43, pp. 98–100.

Effects of problem complexity reduction on parameter sensitivity and classification in charring ablator scenarios

AEROSPACE SCIENCE AND TECHNOLOGY, 124.

A hierarchical Bayesian model for background variation in radiation source localization

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 1002.

Bayesian inference and uncertainty propagation using efficient fractional-order viscoelastic models for dielectric elastomers

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 32(4), 486–496.

Modeling and Parameter Subset Selection for Fibrin Polymerization Kinetics with Applications to Wound Healing

Bulletin of Mathematical Biology, 83(5).

Radiation Source Localization Using Surrogate Models Constructed from 3-D Monte Carlo Transport Physics Simulations

NUCLEAR TECHNOLOGY, 207(1), 37–53.

SURROGATE BASED MUTUAL INFORMATION APPROXIMATION AND OPTIMIZATION FOR URBAN SOURCE LOCALIZATION

INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 11(5), 39–55.

The maximum entropy method for data fusion and uncertainty quantification in multifunctional materials and structures

Gao, W., Miles, P. R., Smith, R. C., & Oates, W. S. (2021, October 8). JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 10.

Uncertainty Quantification and Sensitivity Analysis of Partial Charges on Macroscopic Solvent Properties in Molecular Dynamics Simulations with a Machine Learning Model

JOURNAL OF CHEMICAL INFORMATION AND MODELING, 61(4), 1745–1761.

Variance-based sensitivity analysis for time-dependent processes

RELIABILITY ENGINEERING & SYSTEM SAFETY, 196.

A Mutual Information-Based Experimental Design Framework to Use High-Fidelity Nuclear Reactor Codes to Calibrate Low-Fidelity Codes

Gordon, N., Gilkey, L., Smith, R. C., Michaud, I., Williams, B., Mousseau, V., … Jones, C. (2019, December 2). NUCLEAR TECHNOLOGY, Vol. 205, pp. 1685–1696.

Active subspace analysis and uncertainty quantification for a polydomain ferroelectric phase-field model

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 30(14), 2027–2051.

Application and Evaluation of Surrogate Models for Radiation Source Search

ALGORITHMS, 12(12).

DERIVATIVE-BASED GLOBAL SENSITIVITY ANALYSIS FOR MODELS WITH HIGH-DIMENSIONAL INPUTS AND FUNCTIONAL OUTPUTS

SIAM JOURNAL ON SCIENTIFIC COMPUTING, 41(6), A3524–A3551.

Global Sensitivity Analysis of Fractional-Order Viscoelasticity Models

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968.

Gradient-Free Construction of Active Subspaces for Dimension Reduction in Complex Models with Applications to Neutronics

SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 7(1), 117–142.

Model Input and Output Dimension Reduction Using Karhunen-Loeve Expansions With Application to Biotransport

ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 5(4).

Parameter subset selection techniques for problems in mathematical biology

Olsen, C. H., Ottesen, J. T., Smith, R. C., & Olufsen, M. S. (2019, April). BIOLOGICAL CYBERNETICS, Vol. 113, pp. 121–138.

Parameter-dependent Surrogate Model Development for PZT Bimorph Actuators Employed for Micro-air Vehicles

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS XIII, Vol. 10968.

Sequential optimal positioning of mobile sensors using mutual information

STATISTICAL ANALYSIS AND DATA MINING, 12(6), 465–478.

Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem

ALGORITHMS, 12(6).

The use of Bayesian inference in the characterization of materials and thin films

ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, Vol. 75, pp. A211–A211.

Uncertainty quantification of two-phase flow and boiling heat transfer simulations through a data-driven modular Bayesian approach

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 138, 1096–1116.

A PROBABILISTIC SUBSPACE BOUND WITH APPLICATION TO ACTIVE SUBSPACES

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 39(3), 1208–1220.

Active Subspace Uncertainty Quantification for a Polydomain Ferroelectric Phase-Field Model

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596.

Analysis of a multi-axial quantum-informed ferroelectric continuum model: Part 2—sensitivity analysis

Journal of Intelligent Material Systems and Structures, 29(13), 2840–2860.

Automated Defect Detection in Spent Nuclear Fuel Using Combined Cerenkov Radiation and Gamma Emission Tomography Data

Nuclear Technology, 204(3), 343–353.

Bayesian Approaches to Uncertainty Quantification and Structure Refinement from X-Ray Diffraction

Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

Bulletin of Mathematical Biology, 80(6), 1578–1595.

Uncertainty Quantification for PZT Bimorph Actuators

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596.

Uncertainty-enabled design of electromagnetic reflectors with integrated shape control

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES XII, Vol. 10596.

A Bayesian approach to modeling diffraction profiles and application to ferroelectric materials

Journal of Applied Crystallography, 50(1), 211–220.

A Linear Regression Framework for the Verification of Bayesian Model Calibration Algorithms

Journal of Verification, Validation and Uncertainty Quantification, 2(2), 021006.

A maximum entropy approach for uncertainty quantification and analysis of multifunctional materials

Proceedings of the asme conference on smart materials adaptive.

A multi-axial electromechanically-coupled homogenized energy model for ferroelectric materials

Proceedings of the asme conference on smart materials adaptive.

Bayesian model calibration and uncertainty quantification for an HIV model using adaptive Metropolis algorithms

Inverse Problems in Science and Engineering, 26(2), 233–256.

CPDE special section

ANNUAL REVIEWS IN CONTROL, Vol. 44, pp. 183–183.

Data-driven model development and feedback control design for PZT bimorph actuators

Proceedings of the asme conference on smart materials adaptive.

Global Sensitivity Analysis for a Quantum Informed Ferroelectric Phase Field Model

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165.

Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem

International Journal for Numerical Methods in Engineering, 111(10), 955–982.

Identifiability and active subspace analysis for a polydomain ferroelectric phase field model

Proceedings of the asme conference on smart materials adaptive.

Surrogate Model Development and Feedforward Control Implementation for PZT Bimorph Actuators Employed for Robobee

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165.

Uncertainty Analysis of Continuum Phase Field Modeling in 180 degrees Domain Wall Structures

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2017, Vol. 10165.

Uncertainty analysis of ferroelectric polydomain structures

Proceedings of the asme conference on smart materials adaptive.

Validation and uncertainty quantification of detector response functions for a 1″×2″ NaI collimated detector intended for inverse radioisotope source mapping applications

Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 410, 1–15.

A PARAMETER SUBSET SELECTION ALGORITHM FORMIXED-EFFECTS MODELS

INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 6(5), 405–416.

Adaptive and active materials: selected papers from the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 15) (Colorado Springs, CO, USA, 21-23 September 2015)

Smith, R. C., Anderson, I., Hartl, D., Atulasimha, J., Sarles, S. A., Wissa, A., & Shafer, M. (2016, October). SMART MATERIALS AND STRUCTURES, Vol. 25.

An information theoretic approach to use high-fidelity codes to calibrate low-fidelity codes

JOURNAL OF COMPUTATIONAL PHYSICS, 324, 24–43.

Bayesian metropolis methods applied to sensor networks for radiation source localization

2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 389–393.

Frequentist and Bayesian Lasso Techniques for Parameter Selection in Nonlinearly Parameterized Models

IFAC PAPERSONLINE, Vol. 49, pp. 416–421.

Gradient free active subspace construction using Morris screening elementary effects

COMPUTERS & MATHEMATICS WITH APPLICATIONS, 72(6), 1603–1615.

Parameter Estimation for Predictive Simulation of Oscillatory Systems with Model Discrepancy

IFAC PAPERSONLINE, Vol. 49, pp. 428–433.

Parameter Selection and Verification Techniques Based on Global Sens Analysis Illustrated for an HIV Model

SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION, 4(1), 266–297.

Uncertainty analysis of continuum scale ferroelectric energy landscapes using density functional theory

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2016, Vol. 9800.

Use of Bayesian Inference in Crystallographic Structure Refinement via Full Diffraction Profile Analysis

Scientific Reports, 6(1), 31625.

Bayesian uncertainty analysis of finite deformation viscoelasticity

MECHANICS OF MATERIALS, 91, 35–49.

A modeling and uncertainty quantification framework for a flexible structure with macrofiber composite actuators operating in hysteretic regimes

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 25(2), 204–228.

Construction of Bayesian prediction intervals for smart systems

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1.

High-Dimensional Model Representations for the Neutron Transport Equation

NUCLEAR SCIENCE AND ENGINEERING, 177(3), 350–360.

Model calibration for beam models in the presence of model discrepancy

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 1.

Quantification of parameter and model uncertainty for shape memory alloy bending actuators

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 25(2), 229–245.

Special Issue: 2012 ASME Conference on Smart Materials, Adaptive Structures, and Intelligent Systems Preface

Smith, R., Wereley, N. M., Myers, O., Dragoni, E., Ruggiero, E., & Loh, K. J. (2014, June). JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, Vol. 25, pp. 1039–1040.

Uncertainty Quantification: Theory, Implementation and Applications

Philadelphia: SIAM.

Uncertainty analysis of a finite deformation viscoelastic model

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, 2014, vol 2.

ncertainty quantification for robust control design of smart material systems

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems - 2013, vol 1.

CONFIDENCE INTERVAL ESTIMATION FOR AN EMPIRICAL MODEL QUANTIFYING THE EFFECT OF SOIL MOISTURE AND PLANT DEVELOPMENT ON SOYBEAN (GLYCINE MAX (L.) MERR.) LEAF CONDUCTANCE

International Journal of Pure and Apllied Mathematics, 83(3).

Comparison of Frequentist and Bayesian Confidence Analysis Methods on a Viscoelastic Stenosis Model

SIAM/ASA Journal on Uncertainty Quantification, 1(1), 348–369.

Development of robust control algorithms for shape memory alloy bending actuators

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 391–400.

Homogenized energy model and markov chain Monte Carlo simulations for macro fiber composites operating in broadband regimes

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 321–327.

Inversion algorithms for the homogenized energy model for hysteresis in ferroelectric and shape memory alloy compounds

Journal of Intelligent Material Systems and Structures, 24(15), 1796–1821.

Quantification of parameter uncertainty for robust control of shape memory alloy bending actuators

SMART MATERIALS AND STRUCTURES, 22(11).

Quantifying Plant Age and Available Water Effects on Soybean Leaf Conductance

Agronomy Journal, 105(1), 28–36.

Sliding mode control for inverse compensated hysteretic smart systems

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 335–344.

The homogenized energy model for characterizing magnetization and strains in ferromagnetic materials

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, vol 1, 489–496.

A strain model for piezoelectric materials operating in highly hysteretic regimes

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent systems (SMASIS 2011), vol 2, 241–249.

Data-driven techniques to estimate parameters in a rate-dependent ferromagnetic hysteresis model

Hu, Z., Smith, R. C., & Ernstberger, J. M. (2012, May 1). PHYSICA B-CONDENSED MATTER, Vol. 407, pp. 1394–1398.

Data-driven techniques to estimate parameters in the homogenized energy model for shape memory alloys

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(17), 1897–1920.

Density function optimization for the homogenized energy model of shape memory alloys

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 2011), vol 1, 371–379.

Homogenized energy model for characterizing polarization and strains in hysteretic ferroelectric materials: Material properties and uniaxial model development

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(16), 1833–1867.

Modeling and Bayesian Parameter Estimation for Shape Memory Alloy Bending Actuators

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2012, Vol. 8342.

Sliding Mode Control Design for Hysteretic Ferroelectric Materials

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2012, Vol. 8342.

The homogenized energy model for characterizing polarization and strains in hysteretic ferroelectric materials: Implementation algorithms and data-driven parameter estimation techniques

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 23(16), 1869–1894.

Adaptive Control Design for Hysteretic Smart Systems

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2011, Vol. 7978.

Statistical Parameter Estimation for Macro Fiber Composite Actuators using the Homogenized Energy Model

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2011, Vol. 7978.

A Non-linear Optimal Control Design using Narrowband Perturbation Feedback for Magnetostrictive Actuators

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 21(16), 1681–1693.

Design of RF MEMS Switches without Pull-in Instability

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644.

Inverse Model Construction for Control Implementation of Macro Fiber Composite Actuators Operating in Hysteretic Regimes

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644.

Proper Orthogonal Decomposition with Updates for Efficient Control Design in Smart Material Systems

BEHAVIOR AND MECHANICS OF MULTIFUNCTIONAL MATERIALS AND COMPOSITES 2010, Vol. 7644.

Adaptive techniques for the MRAC, adaptive parameter identification, and on-line fault monitoring and accommodation for a class of positive real infinite dimensional systems

INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 23(2), 193–215.

Experimental implementation of a hybrid nonlinear control design for magnetostrictive actuators

Journal of Dynamic Systems, Measurement, and Control, 131(4).

Numerical Techniques for Simulation, Parameter Estimation, and Noise Control in Structural Acoustic Systems

In H. S. Tzou & L. A. Bergman (Eds.), Dynamics and Control of Distributed Systems (pp. 202–263).

Optimal Tracking Using Magnetostrictive Actuators Operating in Nonlinear and Hysteretic Regimes

JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 131(3).

Quantification of hysteresis and nonlinear effects on the frequency response of ferroelectric and ferromagnetic materials

Stuebner, M., Atulasimha, J., & Smith, R. C. (2009, October). SMART MATERIALS AND STRUCTURES, Vol. 18.

High Speed Model Implementation and Inversion Techniques for Ferroelectric and Ferromagnetic Transducers

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 19(11), 1295–1310.

Nonlinear optimal control techniques for vibration attenuation using magnetostrictive actuators

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 19(2), 193–209.

A stress-dependent hysteresis model for ferroelectric materials

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 18(1), 69–88.

A two-scale model for an array of AFM's cantilever in the static case

MATHEMATICAL AND COMPUTER MODELLING, 46(5-6), 776–805.

Adaptive monitoring and accommodation of nonlinear actuator faults in positive real infinite dimensional systems

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 52(12), 2332–2338.

Model-based robust control design for magnetostrictive transducers operating in hysteretic and nonlinear regimes

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 15(1), 22–39.

A homogenized energy framework for ferromagnetic hysteresis

IEEE TRANSACTIONS ON MAGNETICS, 42(7), 1747–1769.