Publications

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty. SIAM/ASA Journal on Uncertainty Quantification, 2024.

Quantification of Modeling Uncertainty in the Rayleigh Damping Model. Earthquake Engineering & Structural Dynamics, 2024.

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Performance-Based Earthquake Early Warning for Tall Buildings. Earthquake Spectra, 2024.

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Measuring Stiffness in Residual Neural Networks. RAMSES: Reduced order models; Approximation theory; Machine learning; Surrogates, Emulators and Simulators, 2024.

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Importance Sampling within Configuration Space Integration for Adsorbate Thermophysical Properties: A Case Study for CH3/Ni(111). Phys. Chem. Chem. Phys., 2024.

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Ground Heat Flux Reconstruction Using Bayesian Uncertainty Quantification Machinery and Surrogate Modeling. Earth and Space Science, 2024.

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Active Learning for SNAP Interatomic Potentials via Bayesian Predictive Uncertainty. Computational Materials Science, 2024.

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Polynomial Chaos Surrogate Construction for Stochastic Models with Parametric Uncertainty. 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.

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The Role of Stiffness in Training and Generalization of ResNets. Journal of Machine Learning for Modeling and Computing, 2023.

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Pynta-An Automated Workflow for Calculation of Surface and Gas–Surface Kinetics. Journal of Chemical Information and Modeling, 2023.

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Modeling Perennial Bioenergy Crops in the E3SM Land Model (ELMv2). Journal of Advances in Modeling Earth Systems, 2023.

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Global Sensitivity Analysis of a Coupled Multiphysics Model to Predict Surface Evolution in Fusion Plasma--Surface Interactions. Computational Materials Science, 2023.

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FitSNAP: Atomistic machine learning with LAMMPS. Journal of Open Source Software, 2023.

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Efficient Probabilistic Prediction and Uncertainty Quantification of Tropical Cyclone–Driven Storm Tides and Inundation. Artificial Intelligence for the Earth Systems, 2023.

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Configuration Space Integration for Adsorbate Partition Functions: The Effect of Anharmonicity on the Thermophysical Properties of CO–Pt(111) and CH3OH–Cu(111). ACS Catalysis, 2023.

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Bayesian Calibration with Summary Statistics for the Prediction of Xenon Diffusion in UO2 Nuclear Fuel. Computational Materials Science, 2023.

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Quantification of the Effect of Uncertainty on Impurity Migration in PISCES-A Simulated with GITR. Nuclear Fusion, 2022.

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Using a Surrogate-Assisted Bayesian Framework to Calibrate the Runoff-Generation Scheme in the Energy Exascale Earth System Model (E3SM) v1. Geoscientific Model Development, 2022.

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Sella, an Open-Source Automation-Friendly Molecular Saddle Point Optimizer. Journal of Chemical Theory and Computation, 2022.

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Quantifying Modeling Uncertainty in Simplified Beam Models for Building Response Prediction. Structural Control and Health Monitoring, 2022.

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Earth System Model Improvement Pipeline via Uncertainty Attribution and Active Learning. 2021.

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Quantifying the Impact of Parametric Uncertainty on Automatic Mechanism Generation for CO2 Hydrogenation on Ni(111). JACS Au, 2021.

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Geometry Optimization Speedup through a Geodesic Approach to Internal Coordinates. The Journal of Chemical Physics, 2021.

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Breaking Down the Computational Barriers to Real-Time Urban Flood Forecasting. Geophysical Research Letters, 2021.

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Adsorbate Partition Functions via Phase Space Integration: Quantifying the Effect of Translational Anharmonicity on Thermodynamic Properties. Journal of Physical Chemistry C, 2021.

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Characterization of Partially Observed Epidemics through Bayesian Inference: Application to COVID-19. Computational Mechanics, 2020.

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A Novel Modeling Framework to Secure Efficiency and Accuracy in Real-Time Ensemble Flood Forecasting. Water Resources Research, 2020.

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The Network Uncertainty Quantification Method for Uncertainty Propagation in Large-Scale Networks. Unpublished, 2020.

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Accelerated Saddle Point Refinement through Full Exploitation of Partial Hessian Diagonalization. Journal of Chemical Theory and Computation, 2019.

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Embedded Model Error Representation for Bayesian Model Calibration. International Journal for Uncertainty Quantification, 2019.

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Sparse Low Rank Approximation of Potential Energy Surfaces with Applications in Estimation of Anharmonic Zero Point Energies and Frequencies. Journal of Mathematical Chemistry, 2019.

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Streamflow, Stomata, and Soil Pits: Sources of Inference for Complex Models with Fast, Robust Uncertainty Quantification. Advances in Water Resources, 2019.

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Scalable Approximation of Green's Function for Estimation of Anharmonic Energy Corrections. Unpublished, 2019.

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Compressive Sensing Adaptation for Polynomial Chaos Expansions. Journal of Computational Physics, 2019.

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Uncertainty Quantification for Incident Helium Flux in Plasma-Exposed Tungsten. International Journal for Uncertainty Quantification, 2018.

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Compressed Sparse Tensor based Quadrature for Vibrational Quantum Mechanics Integrals. Computer Methods in Applied Mechanics and Engineering, 2018.

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Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions. SIAM/ASA Journal of Uncertainty Quantification, 2018.

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The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance. High Performance Computing, 2018.

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Probabilistic Parameter Estimation in a 2-Step Chemical Kinetics Model for n-Dodecane Jet Autoignition. Combustion Theory and Modeling, 2018.

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Global Sensitivity Analysis and Estimation of Model Error, toward Uncertainty Quantification in Scramjet Computations. AIAA Journal, 2018.

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The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model. Journal of Advances in Modeling Earth Systems, 2018.

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Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. The International Journal of High Performance Computing Applications, 2018.

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Multifidelity Statistical Analysis of Large Eddy Simulations in Scramjet Computations. AIAA SciTech Forum, 2018.

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Exploring the Interplay of Resilience and Energy Consumption for a Task-based Partial Differential Equations Preconditioner. Parallel Computing, 2018.

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Temporal and Spatial Variation in Peatland Carbon Cycling and Implications for Interpreting Responses of an Ecosystem-Scale Warming Experiment. Soil Science Society of America, 2017.

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Low-Rank Canonical-Tensor Decomposition of Potential Energy Surfaces: Application to Grid-based Diagrammatic Vibrational Green's Function Theory. Molecular Physics, 2017.

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Inference of Reaction Rate Parameters based on Summary Statistics from Experiments. Proc. Comb. Inst., 2017.

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A Resilient Domain Decomposition Polynomial Chaos Solver for Uncertain Elliptic PDEs. Computer Physics Communications, 2017.

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The Uncertainty Quantification Toolkit (UQTk). Handbook of Uncertainty Quantification, 2017.

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Surrogate Models for Uncertainty Propagation and Sensitivity Analysis. Handbook of Uncertainty Quantification, 2017.

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Global Sensitivity Analysis and Quantification of Model Error for Large Eddy Simulation in Scramjet Design. 19th AIAA Non-Deterministic Approaches Conference, 2017.

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Discrete A Priori Bounds for the Detection of Corrupted PDE Solutions in Exascale Computations. SIAM Journal on Scientific Computing, 2017.

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Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver. 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA), 2016.

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Uncertainty Quantification in LES of Channel Flow. International Journal for Numerical Methods in Fluids, 2016.

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Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. Proceedings of High Performance Computing: 31st International Conference, ISC High Performance 2016, Frankfurt, Germany, June 19-23, 2016, 2016.

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ULFM-MPI Implementation of a Resilient Task-based Partial Differential Equations Preconditioner. Proceedings of the ACM Workshop on Fault-Tolerance for HPC at Extreme Scale, 2016.

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Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults. 2015 IEEE International Conference on Cluster Computing (CLUSTER), 2015.

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Fault Resilient Domain Decomposition Preconditioner for PDEs. SIAM Journal on Scientific Computing, 2015.

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Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models. Multiscale Modeling & Simulation, 2015.

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Global Sensitivity Analysis, Probabilistic Calibration, and Predictive Assessment for the Data Assimilation Linked Ecosystem Carbon Model. Geosci. Model Dev., 2015.

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Enhancing l1-Minimization Estimates of Polynomial Chaos Expansions using Basis Selection. Journal of Computational Physics, 2015.

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Bayesian Calibration of the Community Land Model using Surrogates. SIAM/ASA Journal on Uncertainty Quantification, 2015.

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Probabilistic Methods for Sensitivity Analysis and Calibration of Computer Models in the NASA Challenge Problem. Journal of Aerospace Information Systems, 2015.

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On the Statistical Calibration of Physical Models. International Journal of Chemical Kinetics, 2015.

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Hybrid Discrete/Continuum Algorithms for Stochastic Reaction Networks. Journal of Computational Physics, 2015.

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Towards a Universal Toolkit for Quantifying Simulation Error via both Bayesian Inference and Model Reduction Strategies. Workshop on Modeling and Simulation of Systems and Applications (MODSIM), 2014.

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Data Free Inference of Uncertain Parameters in Chemical Models. International Journal for Uncertainty Quantification, 2014.

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Uncertainty Quantification Methods for Model Calibration, Validation, and Risk Analysis. AIAA-2014-1497, 16-th AIAA Non-Deterministic Approaches Conference, 2014.

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Dimensionality Reduction for Complex Models via Bayesian Compressive Sensing. International Journal of Uncertainty Quantification, 2014.

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Uncertainty Quantification of Reaction Mechanisms Accounting for Correlations Introduced by Rate Rules and Fitted Arrhenius Parameters. Combustion and Flame, 2013.

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Validation and Uncertainty Assessment of Extreme-Scale HPC Simulation through Bayesian Inference. European Conference on Parallel Processing, 2013.

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Uncertainty Quantification in MD Simulations. Part II: Inference of Force-Field Parameters. SIAM J. Multiscale Model. Simul, 2012.

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Uncertainty Quantification in MD Simulations. Part I: Stochastic Reformulation of the Forward Problem. SIAM J. Multiscale Model. Simul, 2012.

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Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus subtilis. IEEE/ACM Trans. Comp. Biol. and Bioinf, 2012.

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A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations. Multiscale Modeling & Simulation, 2012.

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Uncertainty Quantification given Discontinuous Model Response and a Limited Number of Model Runs. SIAM J. Scientific Computing, 2012.

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Efficient Uncertainty Quantification Methodologies for High-Dimensional Climate Land Models. 2011.

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Sources of Cell-to-Cell Variability in Canonical Nuclear Factor-κB (NF-κB) Signaling Pathway Inferred from Single Cell Dynamic Images. Journal of Biological Chemistry, 2011.

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Real-Time Characterization of Partially Observed Epidemics using Surrogate Models. 2011.

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Uncertainty Quantification of Cinematic Imaging for Development of Predictive Simulations of Turbulent Combustion. 2010.

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Spectral Representation and Reduced Order Modeling of the Dynamics of Stochastic Reaction Networks via Adaptive Data Partitioning. SIAM Journal on Scientific Computing, 2010.

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Uncertainty Quantification in the Presence of Limited Climate Model Data with Discontinuities. ICDMW ‘09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, 2009.

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Bayesian Inference of Spectral Expansions for Predictability Assessment in Stochastic Reaction Networks. J. Comput. Theor. Nanosci., 2009.

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Mean First Passage Times in the Near-Continuum Limit of Birth-Death Processes. University of Michigan, 2007.

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Asymptotics of Rare Events in Birth Death Processes Bypassing the Exact Solutions. Journal of Physics Condensed Matter, 2007.

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Extinction Times for Birth-Death Processes: Exact Results, Continuum Asymptotics, and the Failure of the Fokker-Planck Approximation. Multiscale Modeling and Simulation, 2006.

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A Numerical Method for Some Stochastic Differential Equations with Multiplicative Noise. Physics Letters A, 2005.

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Fluctuations in Chemical Reactions in a Large Volume. GFD Program Proceedings, 2005.

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