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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 ...
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 ...
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 ...
Prediction, analysis, and learning of advective transport in dynamic fluid flows
(Massachusetts Institute of Technology, 2021)
Transport of any material quantity due to background fields, i.e. advective transport, in fluid dynamical systems has been a widely studied problem. It is of crucial importance in classical fluid mechanics, geophysical ...
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 ...
Inference, estimation, and prediction for stable operation of modern electric power systems
(Massachusetts Institute of Technology, 2021)
To keep pace with social-ecological disruptions and technological progressions, electrical power systems must continually adapt. In order to address the stability-related challenges associated with these adaptations, this ...
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 ...
Bayesian learning for high-dimensional nonlinear dynamical systems : methodologies, numerics and applications to fluid flows
(Massachusetts Institute of Technology, 2020)
The rapidly-growing computational power and the increasing capability of uncertainty quantification, statistical inference, and machine learning have opened up new opportunities for utilizing data to assist, identify and ...
Development and assessment of a physics-based model for subcooled flow boiling with application to CFD
(Massachusetts Institute of Technology, 2020)
Boiling is an extremely efficient mode of heat transfer and is the preferred heat removal mechanism in power systems in general and, more recently, in electronics cooling. Physics-based models that describe boiling heat ...