Citation Impact
Citing Papers
Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes, CLM4.5(ED)
2015
Taking off the training wheels: the properties of a dynamic vegetation model without climate envelopes
2015
LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
2021 Standout
NF-κB and IRF pathways: cross-regulation on target genes promoter level
2015
EMT Transition States during Tumor Progression and Metastasis
2018 Standout
Population Heterogeneity in the Epithelial to Mesenchymal Transition Is Controlled by NFAT and Phosphorylated Sp1
2016
Multi-objective path planning for unmanned surface vehicle with currents effects
2018 Standout
NF-κB, inflammation, immunity and cancer: coming of age
2018 Standout
Stochastic spectral methods for efficient Bayesian solution of inverse problems
2006
Convective and absolute electrokinetic instability with conductivity gradients
2005
Microfluidics: Fluid physics at the nanoliter scale
2005 Standout
Global Sensitivity Analysis for multivariate output using Polynomial Chaos Expansion
2014
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
2021
Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
2004
On underestimation of global vulnerability to tree mortality and forest die‐off from hotter drought in the Anthropocene
2015 Standout
Energy-optimal path planning by stochastic dynamically orthogonal level-set optimization
2016
A Review of Morphing Aircraft
2011 Standout
Nonlinear system identification in structural dynamics: 10 more years of progress
2016 Standout
Robust Airfoil Design with Respect to Boundary Layer Transition
2009
Non-intrusive low-rank separated approximation of high-dimensional stochastic models
2013
Sensitivity analysis of a stochastic discrete event simulation model of harvest operations in a static rose cultivation system
2013
A comparative study of coarse-graining methods for polymeric fluids: Mori-Zwanzig vs. iterative Boltzmann inversion vs. stochastic parametric optimization
2016
Agricultural robots for field operations: Concepts and components
2016 Standout
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
2015 Standout
Thermodynamically consistent physics-informed neural networks for hyperbolic systems
2021
A literature survey of low‐rank tensor approximation techniques
2013 Standout
Π4U: A high performance computing framework for Bayesian uncertainty quantification of complex models
2014
Physics-informed machine learning
2021 Standout
Hybridization of stochastic reduced basis methods with polynomial chaos expansions
2005
Global sensitivity analysis using polynomial chaos expansions
2007 Standout
Variable importance analysis: A comprehensive review
2015 Standout
Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
2008
Works of Bert Debusschere being referenced
Automated Generation of Tabular Equations of State with Uncertainty Information.
2015
Spectral Methods for Parametric Sensitivity in Stochastic Dynamical Systems
2006
Sources of Cell-to-cell Variability in Canonical Nuclear Factor-κB (NF-κB) Signaling Pathway Inferred from Single Cell Dynamic Images
2011
Computational Study of Band-Crossing Reactions
2004
Uncertainty Quantification in MD Simulations. Part II: Bayesian Inference of Force-Field Parameters
2012
Natural Convection in a Closed Cavity under Stochastic Non-Boussinesq Conditions
2004
Fundamental issues in the representation and propagation of uncertain equation of state information in shock hydrodynamics
2012
Protein labeling reactions in electrochemical microchannel flow: Numerical simulation and uncertainty propagation
2003
Spectral stochastic uncertainty quantification in chemical systems
2004
Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes
2004
DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING
2013