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Physics-constrained machine learning strategies for turbulent flows and bubble dynamics
(Massachusetts Institute of Technology, 2020)
Machine learning (ML) has in recent years become a sizzling trend in almost every science and engineering discipline. It enables scientists and engineers to make decisions or draw conclusions directly using information ...
Open source hardware entrepreneurship
(Massachusetts Institute of Technology, 2020)
Having overturned the traditional producer-led, in-house production model of software, open source entered the physical world and started to change physical products' development and commercialization process. Will open ...
Determining phosphate levels in natural water using a novel electrochemical measurement device
(Massachusetts Institute of Technology, 2020)
Current measurement of the phosphorus level in natural water are based on the phosphomolybdenum blue (PMB) method. In this method, the phosphate and molybdate ion form 12-molybdophosphoric acid (12-MPA) which is reduced ...
Cell-free freeze-dried synthetic biology for wearable biotechnology applications
(Massachusetts Institute of Technology, 2020)
Synthetic biology aims to develop modular genetic networks for computation, sensing, and control of biological systems, holding great promise for next-generation biosensing platforms. Similarly, advances in material sciences ...
Optically transparent, thermally insulating and soundproofing (OTTIS) aerogel for high-efficiency window applications
(Massachusetts Institute of Technology, 2020)
Building heating, ventilation and air conditioning (HVAC) accounts for about 13.6 quadrillion BTU ("quads") per year or 14% of the total energy consumption in the United States.' Accounting for 39% of annual US carbon ...
Efficiency and abstraction in task and motion planning
(Massachusetts Institute of Technology, 2020)
Modern robots are capable of complex and highly dynamic behaviors, yet the decisionmaking algorithms that drive them struggle to solve problems involving complex behaviors like manipulation. The combination of continuous ...
Microfluidic and electronic detection of protein biomarkers
(Massachusetts Institute of Technology, 2020)
Proteins are essential components of our bodies and play critical roles in biological processes. Quantifying protein levels can help characterize these biological processes and detect malfunctions. Thus, protein testing ...
A second generation URANS approach for application to aerodynamic design and optimization in the automotive industry
(Massachusetts Institute of Technology, 2020)
In the U.S., transportation is responsible for approximately 70% of all petroleum consumption and is now the largest source of carbon emissions and air pollution. Aerodynamics is an important aspect for energy saving and ...
Reactive manipulation with contact models and tactile feedback
(Massachusetts Institute of Technology, 2020)
This thesis focuses on closing the loop in robotic manipulation, moving towards robots that can better perceive their environment and react to unforeseen situations. Humans effectively process and react to information from ...
Contributions of the human operator to supernumerary robotic limbs
(Massachusetts Institute of Technology, 2020)
An expanding literature base has applied Supernumerary Robotic Limbs (Superlimbs) to fields as diverse as heavy industry, robotic surgery, and assistive technology. While the list of applications has grown, and the designs ...