BAYESIAN IDENTIFICATION OF PYROLYSIS MODEL PARAMETERS FOR THERMAL PROTECTION MATERIALS USING AN ADAPTIVE GRADIENT-INFORMED SAMPLING ALGORITHM WITH APPLICATION TO A MARS ATMOSPHERIC ENTRY

Analytical solution for multi-component pyrolysis simulations of thermal protection materials

(2021) Joffrey Coheur et al.   Journal of Materials Science

Unbiased estimation of the gradient of the log-likelihood in inverse problems

(2021) Ajay Jasra et al.   STATISTICS AND COMPUTING

Decomposition of carbon/phenolic composites for aerospace heatshields: Detailed speciation of phenolic resin pyrolysis products

(2021) Francisco Torres-Herrador et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Competitive kinetic model for the pyrolysis of the Phenolic Impregnated Carbon Ablator

(2020) Francisco Torres-Herrador et al.   AEROSPACE SCIENCE AND TECHNOLOGY

A high heating rate pyrolysis model for the Phenolic Impregnated Carbon Ablator (PICA) based on mass spectroscopy experiments

(2019) Francisco Torres-Herrador et al.   JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS

Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models

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Multidimensional material response simulations of a full-scale tiled ablative heatshield

(2018) Jeremie B.E. Meurisse et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Probabilistic inference of reaction rate parameters from summary statistics

(2018) Mohammad Khalil et al.   COMBUSTION THEORY AND MODELLING

A generic local thermal equilibrium model for porous reactive materials submitted to high temperatures

(2017) J. Lachaud et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Itô-SDE MCMC method for Bayesian characterization of errors associated with data limitations in stochastic expansion methods for uncertainty quantification

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Kinetic analysis of non-isothermal solid-state reactions: multi-stage modeling without assumptions in the reaction mechanism

(2017) Alexey L. Pomerantsev et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Multilevel sequential Monte Carlo samplers

(2017) Alexandros Beskos et al.   STOCHASTIC PROCESSES AND THEIR APPLICATIONS

Uncertainty quantification and robust predictive system analysis for high temperature kinetics of HCN/O 2 /Ar mixture

(2016) Sai Hung Cheung et al.   CHEMICAL PHYSICS

Ablation modeling of state of the art EPDM based elastomeric heat shielding materials for solid rocket motors

(2016) Maurizio Natali et al.   COMPUTATIONAL MATERIALS SCIENCE

Detailed analysis of species production from the pyrolysis of the Phenolic Impregnated Carbon Ablator

(2016) Hsi-Wu Wong et al.   JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS

Bayesian inference of chemical kinetic models from proposed reactions

(2015) Nikhil Galagali et al.   CHEMICAL ENGINEERING SCIENCE

Inferring and Propagating Kinetic Parameter Uncertainty for Condensed Phase Burning Models

(2015) Morgan C. Bruns   FIRE TECHNOLOGY

Quantitative determination of species production from phenol-formaldehyde resin pyrolysis

(2015) Hsi-Wu Wong et al.   POLYMER DEGRADATION AND STABILITY

Polynomial Chaos Expansion of a Multimodal Random Vector

(2015) C. Soize   SIAM-ASA Journal on Uncertainty Quantification

A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow

(2015) T. J. Dodwell et al.   SIAM-ASA Journal on Uncertainty Quantification

Pyrolysis of Phenolic Impregnated Carbon Ablator (PICA)

(2014) Brody K. Bessire et al.   ACS Applied Materials & Interfaces

Sizing and Margins Assessment of Mars Science Laboratory Aeroshell Thermal Protection System

(2014) Michael J. Wright et al.   JOURNAL OF SPACECRAFT AND ROCKETS

Porous-Material Analysis Toolbox Based on OpenFOAM and Applications

(2014) Jean Lachaud et al.   JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER

Itô SDE--based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification

(2014) Johann Guilleminot et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING

When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies

(2014) Mark Strong et al.   SIAM-ASA Journal on Uncertainty Quantification

Proposals which speed up function-space MCMC

(2013) K.J.H. Law   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

DATA-FREE INFERENCE OF UNCERTAIN PARAMETERS IN CHEMICAL MODELS

(2013) Habib N. Najm et al.   International Journal for Uncertainty Quantification

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

(2011) Mark Girolami et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

An adaptive approach to Langevin MCMC

(2011) Tristan Marshall et al.   STATISTICS AND COMPUTING

ICTAC Kinetics Committee recommendations for performing kinetic computations on thermal analysis data

(2011) Sergey Vyazovkin et al.   THERMOCHIMICA ACTA

Examples of Adaptive MCMC

(2009) Gareth O. Roberts et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

Construction of probability distributions in high dimension using the maximum entropy principle: Applications to stochastic processes, random fields and random matrices

(2008) Christian Soize   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

A tutorial on adaptive MCMC

(2008) Christophe Andrieu et al.   STATISTICS AND COMPUTING