6 citations · 8 across the 4 of their papers we have counts for
5 papers
Subspace-based dimension reduction for chemical kinetics applications with epistemic uncertainty
M. Vohra, A. Alexanderian, H. Guy +1
We focus on an efficient approach for quantification of uncertainty in complex chemical reaction networks with a large number of uncertain parameters. Parameter dimension reduction…
Sensitivity-driven adaptive construction of reduced-space surrogates
Manav Vohra, Alen Alexanderian, Cosmin Safta +1
We develop a systematic approach for surrogate model construction in reduced input parameter spaces. A sparse set of model evaluations in the original input space is used to approx…
Uncertainty Quantification in Non-Equilibrium Molecular Dynamics Simulations of Thermal Transport
Manav Vohra, Ali Yousefzadi Nobakht, Seungha Shin +1
Bulk thermal conductivity estimates based on predictions from non-equilibrium molecular dynamics (NEMD) using the so-called direct method are known to be severely under-predicted s…
The QUESO Library, User's Manual
Kemelli C. Estacio-Hiroms, Ernesto E. Prudencio, Nicholas P. Malaya +2
QUESO stands for Quantification of Uncertainty for Estimation, Simulation and Optimization and consists of algorithms and C++ classes intended for research in uncertainty quantific…
Design Analysis for Optimal Calibration of Diffusivity in Reactive Multilayers
Manav Vohra, Xun Huan, Timothy P. Weihs +1
Calibration of the uncertain Arrhenius diffusion parameters for quantifying mixing rates in Zr-Al nanolaminate foils was performed in a Bayesian setting [Vohra et al., 2014]. The p…