Browsing Center for Computational Science and Engineering (CCSE) by Issue Date
Now showing items 1-20 of 73
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A deviational Monte Carlo formulation of ab initio phonon transport and its application to the study of kinetic effects in graphene ribbons
(Massachusetts Institute of Technology, 2014)We present a deviational Monte Carlo method for solving the Boltzmann equation for phonon transport subject to the linearized ab initio 3-phonon scattering operator. Phonon dispersion relations and transition rates are ... -
Numerical approaches for sequential Bayesian optimal experimental design
(Massachusetts Institute of Technology, 2015)Experimental data play a crucial role in developing and refining models of physical systems. Some experiments can be more valuable than others, however. Well-chosen experiments can save substantial resources, and hence ... -
Efficient multiscale methods for micro/nanoscale solid state heat transfer
(Massachusetts Institute of Technology, 2015)In this thesis, we develop methods for solving the linearized Boltzmann transport equation (BTE) in the relaxation-time approximation for describing small-scale solidstate heat transfer. We first discuss a Monte Carlo (MC) ... -
Transport maps for accelerated Bayesian computation
(Massachusetts Institute of Technology, 2015)Bayesian inference provides a probabilistic framework for combining prior knowledge with mathematical models and observational data. Characterizing a Bayesian posterior probability distribution can be a computationally ... -
Finite element solution of interface and free surface three-dimensional fluid flow problems using flow-condition-based interpolation
(Massachusetts Institute of Technology, 2015)The necessity for a highly accurate simulation scheme of free surface flows is emphasized in various industrial and scientific applications. To obtain an accurate response prediction, mass conservation must be satisfied. ... -
Impact of fuel and oxidizer composition on premixed flame stabilization in turbulent swirling flows : dynamics and scaling
(Massachusetts Institute of Technology, 2016)The world relies on fossil fuels as its main energy source (86.7% in 1973, 81.7% in 2012). Several factors including the abundance of resources and the existing infrastructure suggest that this is likely to continue in the ... -
A study of Taylor bubbles in vertical and inclined slug flow using multiphase CFD with level set
(Massachusetts Institute of Technology, 2016)Slug flow commonly occurs in gas and oil systems. Current predictive methods are based on mechanistic models, which require the use of closure relations to complement the conservation equations to predict integral flow ... -
Path planning and adaptive sampling in the coastal ocean
(Massachusetts Institute of Technology, 2016)When humans or robots operate in complex dynamic environments, the planning of paths and the collection of observations are basic, indispensable problems. In the oceanic and atmospheric environments, the concurrent use of ... -
Simulation methods for plasmonic structures
(Massachusetts Institute of Technology, 2017)In the recent years there has been a growing interest in studying electromagnetic wave propagation at the nanoscale. The interaction of light with metallic nanostructures produces a collective excitation of conduction ... -
Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation
(Massachusetts Institute of Technology, 2017)Optimal decision making under uncertainty is critical for control and optimization of complex systems. However, many techniques for solving problems such as stochastic optimal control and data assimilation encounter the ... -
Development of macroscopic nanoporous graphene membranes for gas separation
(Massachusetts Institute of Technology, 2017)Separating components of a gas from a mixture is a critical step in several important industrial processes including natural gas purification, hydrogen production, carbon dioxide sequestration, and oxy-combustion. For such ... -
Model order reduction methods for data assimilation : state estimation and structural health monitoring
(Massachusetts Institute of Technology, 2017)The objective of this thesis is to develop and analyze model order reduction approaches for the efficient integration of parametrized mathematical models and experimental measurements. Model Order Reduction (MOR) techniques ... -
Experimental study and modeling analysis of ion transport membranes for methane partial oxidation and oxyfuel combustion
(Massachusetts Institute of Technology, 2017)The atmospheric concentration of CO 2 has recently exceeded 400 (ppm) (up from 285 (ppm) in 1850), largely because of the burning of fossil fuels. Despite the growth of alternatives, these fuels will continue to play a ... -
Direct and adaptive quantification schemes for extreme event statistics in complex dynamical systems
(Massachusetts Institute of Technology, 2017)Quantifying extreme events is a central issue for many technological processes and natural phenomena. As extreme events, we consider transient responses that push the system away from its statistical steady state and that ... -
Simulating fluid-solid interaction using smoothed particle hydrodynamics method
(Massachusetts Institute of Technology, 2017)The fluid-solid interaction (FSI) is a challenging process for numerical models since it requires accounting for the interactions of deformable materials that are governed by different equations of state. It calls for the ... -
Full core 3D neutron transport simulation using the method of characteristics with linear sources
(Massachusetts Institute of Technology, 2018)The development of high fidelity multi-group neutron transport-based simulation tools for full core Light Water Reactor (LWR) analysis has been a long-standing goal of the reactor physics community. While direct transport ... -
Multi-agent real-time decision making in water resources systems
(Massachusetts Institute of Technology, 2018)Optimal utilization of natural resources such as water, wind and land over extended periods of time requires a carefully designed framework coupling decision making and a mathematical abstraction of the physical system. ... -
An adaptive space-time discontinuous Galerkin method for reservoir flows
(Massachusetts Institute of Technology, 2018)Numerical simulation has become a vital tool for predicting engineering quantities of interest in reservoir flows. However, the general lack of autonomy and reliability prevents most numerical methods from being used to ... -
Probabilistic regional ocean predictions : stochastic fields and optimal planning
(Massachusetts Institute of Technology, 2018)The coastal ocean is a prime example of multiscale nonlinear fluid dynamics. Ocean fields in such regions are complex, with multiple spatial and temporal scales and nonstationary heterogeneous statistics. Due to the limited ... -
Scaling Bayesian optimization for engineering design : lookahead approaches and multifidelity dimension reduction
(Massachusetts Institute of Technology, 2018)The objective functions and constraints that arise in engineering design problems are often non-convex, multi-modal and do not have closed-form expressions. Evaluation of these functions can be expensive, requiring a ...