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Focused active inference
(Massachusetts Institute of Technology, 2014)
In resource-constrained inferential settings, uncertainty can be efficiently minimized with respect to a resource budget by incorporating the most informative subset of observations - a problem known as active inference. ...
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 ...
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 ...
Angles-only navigation technique for maneuver-free spacecraft proximity operations
(Massachusetts Institute of Technology, 2017)
The technique of angles-only navigation consists of a single surveyor making line-of-sight observations of a target to deduce a relative navigation state from a sequence of angle measurements. Historically, angles-only ...
Dynamic network modeling for spaceflight logistics with time-expanded networks
(Massachusetts Institute of Technology, 2015)
This research develops a dynamic logistics network formulation for high-level lifecycle optimization of space mission sequences in order to find an optimal space transportation architecture considering its technology trades ...
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, ...
Development of low-thrust solid rocket motors for small, fast aircraft propulsion
(Massachusetts Institute of Technology, 2020)
Small, uncrewed aerial vehicles (UAVs) are expanding the capabilities of aircraft systems. However, a gap exists in the size and capability of aircraft: no small aircraft are capable of sustained fast flight. A small, fast ...
Efficient nearest-neighbor search algorithms for sub-Riemannian geometries
(Massachusetts Institute of Technology, 2019)
The Motion Planning problem has been at the core of a significant amount of research in the past decades and it has recently gained traction outside academia with the rise of commercial interest in self-driving cars and ...
Space and aerial architectures to expand global connectivity
(Massachusetts Institute of Technology, 2020)
Currently, 46.4% of the world's population does not have access to the Internet. Bringing the more than 3.5 billion individuals still unconnected online is the primary goal for multiple international organizations, including ...
An adaptive variational multiscale method with discontinuous subscales for aerodynamic flows
(Massachusetts Institute of Technology, 2020)
A promising methodology for accurate and efficient simulation of aerodynamic flows is output-based mesh adaptation, which optimizes a mesh to minimize the discretization error in an output of interest. The state of the art ...