Browsing Center for Computational Science and Engineering (CCSE) by Issue Date
Now showing items 21-40 of 74
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Development of the random ray method of neutral particle transport for high-fidelity nuclear reactor simulation
(Massachusetts Institute of Technology, 2018)A central goal in computational nuclear engineering is the high-fidelity simulation of a full nuclear reactor core by way of a general simulation method. General full core simulations can potentially reduce design and ... -
Viscosity stabilized adjoint method for unsteady compressible Navier-Stokes equations
(Massachusetts Institute of Technology, 2018)Design optimization methods are a popular tool in computational fluid dynamics for designing components or finalizing the flow parameters of a system. The adjoint method accelerates the design process by providing gradients ... -
Prediction under uncertainty : from models for marine-terminating glaciers to Bayesian computation
(Massachusetts Institute of Technology, 2018)The polar ice sheets have enormous potential impact on future global mean sea level rise. Recent observations suggest they are losing mass to the ocean at an accelerated rate. Skillful prediction of the ice sheets' future ... -
Analyzing cities' complex socioeconomic networks using computational science and machine learning
(Massachusetts Institute of Technology, 2018)By 2050, it is expected that 66% of the world population will be living in cities. The urban growth explosion in recent decades has raised many questions concerning the evolutionary advantages of urbanism, with several ... -
Atomistic engineering of fluid Structure at the fluid-solid interface
(Massachusetts Institute of Technology, 2019)Under extreme confinement, fluids exhibit a number of remarkable effects that cannot be predicted using macroscopic fluid mechanics. These phenomena are especially pronounced when the confining length scale is comparable ... -
The swept rule for breaking the latency barrier in time-advancing PDEs
(Massachusetts Institute of Technology, 2019)This thesis describes a method to accelerate parallel, explicit time integration of unsteady PDEs. The method is motivated by our observation that network latency, not bandwidth or computing power, often limits how fast ... -
Strategic and analytics-driven inspection operations for critical infrastructure resilience
(Massachusetts Institute of Technology, 2019)Resilience of infrastructure networks is a key requirement for a functioning modern society. These networks work continuously to enable the delivery of critical services such as water, natural gas, and transportation. ... -
First-principles approaches for accurate predictions of nanostructured materials
(Massachusetts Institute of Technology, 2019)Nanostructured materials have attracted increasing interest in recent years due to their unusual mechanical, electrical, electronic and optical properties. First-principles electronic structure calculations (e.g., with ... -
CFD simulation of long slender offshore structures at high Reynolds number
(Massachusetts Institute of Technology, 2019)Slender cylindrical structures are common in many offshore engineering applications such as floating wind turbines and subsea risers. These structures are vulnerable to flow-induced vibrations under certain environmental ... -
Entropy-stable hybridized discontinuous Galerkin methods for large-eddy simulation of transitional and turbulent flows
(Massachusetts Institute of Technology, 2019)The use of computational fluid dynamics (CFD) in the aerospace industry is limited by the inability to accurately and reliably predict complex transitional and turbulent flows. This has become a major barrier to further ... -
Towards stable principles of collective intelligence under an environment-dependent framework
(Massachusetts Institute of Technology, 2019)A large body of work has shown that a group of individuals can often achieve higher levels of intelligence than the group members working alone. Despite these expectations of group advantage, many examples of collective ... -
Visual and auditory scene parsing
(Massachusetts Institute of Technology, 2019)Scene parsing is a fundamental topic in computer vision and computational audition, where people develop computational approaches to achieve human perceptual system's ability in understanding scenes, e.g. group visual ... -
A container-based lightweight fault tolerance framework for high performance computing workloads
(Massachusetts Institute of Technology, 2019)According to the latest world's top 500 supercomputers list, ~90% of the top High Performance Computing (HPC) systems are based on commodity hardware clusters, which are typically designed for performance rather than ... -
An inverse problem framework for reconstruction of phonon properties using solutions of the Boltzmann transport equation
(Massachusetts Institute of Technology, 2019)A methodology for reconstructing phonon properties in a solid material, such as the frequency-dependent relaxation time distribution, from thermal spectroscopy experimental results is proposed and extensively validated. ... -
Resilient operations of smart electricity networks under security and reliability failures
(Massachusetts Institute of Technology, 2019)Blackouts (or cascading failures) in Electricity Networks (ENs) can result in severe consequences for economic activity, human safety and national security. Recent incidents suggest that risk of blackouts due to cyber-security ... -
On traffic disruptions : event detection from visual data and Bayesian congestion games
(Massachusetts Institute of Technology, 2019)Road traffic is often subject to random disturbances due to weather, incidents, or special events. Effectively detecting and disseminating information about disturbances is a key goal of modern, "smart" infrastructure. ... -
Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling
(Massachusetts Institute of Technology, 2020)Unconventional oil and gas basins have rapidly become expansive and critical energy resource systems. However, accurately predicting highly variable well production rates remains challenging, given the typically poor ... -
New overlapping finite elements and their application in the AMORE paradigm
(Massachusetts Institute of Technology, 2020)The finite element method has become a fundamental analysis tool for modern sciences and engineering. Despite the great improvement in theory and application over the past decades, the need for regular conforming meshes ... -
Enhancing internet of things experience in augmented reality environments
(Massachusetts Institute of Technology, 2020)Seamless perception of objects' physical properties, such as temperature, is a key to improving the way we live and work. Thanks to the rapid development of sensor technology, Internet of Things (IoT) is shaping our world ... -
Covariance estimation on matrix manifolds
(Massachusetts Institute of Technology, 2020)The estimation of covariance matrices is a fundamental problem in multivariate analysis and uncertainty quantification. Covariance matrices are an essential modeling tool in climatology, econometrics, model reduction, ...