Aging and life prediction of Li-ion batteries

In this project, the effective life of advanced Li-ion batteries will be assessed using experimental tools and predictive modeling. Li-ion batteries have emerged as an alternative source of energy on-board cars, i.e., electric vehicles (EVs). Unlike internal combustion engine (ICE) vehicles, EVs suffer from performance degradation over driving and idle time posing limitations on their widespread deployment in the market.

Nano topographical substrate modification of cell delivery system for treatment of MI

There is no memorandum project overview associated with this application.

Real-Time Signal Optimization and Emissions Estimation Using Big Data Sources

In recent years technological developments have created a new paradigm where data can be obtained easily and with less effort than in the past. This shift is often called “Big Data”, and its effects can be seen as in many different fields. This proposal follows the same vein, and focusses on taking advantage of the increasing prevalence of connected devices.

An analysis of non-structural flood-management measures in Shanghai, China

This research project will involve analyzing non-structural flood management measures in Shanghai, China - one of the world's most flood vulnerable cities. The Chinese government has invested heavily into structural barriers to flooding, such as the Three Gorges Dam, but there is no fail-safe in times of extreme flood levels. Despite extensive research, there is no information in English literature on the use of public-education and outreach by the government to better prepare Shanghai's most vulnerable residents.

Improving Productivity in Bioreactors through control of foaming and cell heterogeneity

Heterogeneity of cell populations is a common occurrence in bioreactor operations (Lara et al., 2006) and is typically caused by processing of cell cultures in vessels of varying sizes and process conditions and by deficient mixing. Most bioreactor research deals with average conditions of the cell population with respect to quantities such as dissolved oxygen and extracellular nutrient level, while these averages actually correspond to very different distributions of individual cell growth and productivity.

Analysis of Waste Heat Boilers using Computational Multiphysics

Waste heat boilers provide an important function in many industries, taking hot process flows and cooling them down while at the same time creating valuable steam which can be used to save power in other parts of the plant. This project will use Computational Multiphysics Simulations (CMS) to model the inner workings of these important boilers. CMS uses a mix of theoretical and experimental equations to model real world fluids, particularly how they move, boil, and spread heat.

Characterizing thermo-mechanical treatment of laser processed NiTi shape memory alloys

Shape memory alloys (SMAs) are metallic alloys which can undergo deformation and return to their original form when heated above their characteristic transformation temperature. Due to their unique properties, SMAs have found use in the aerospace, robotics, biomedical, and automotive industries, among others. Traditional SMAs are limited to one distinct transformation temperature per individual component, limiting their potential applications. Smarter Alloys Inc.

The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system.

Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries - Year 2

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these goals, in this proposal, two dimensional graphene materials are integrated on the surface of the cathode, forming a hybrid cathode aqueous battery.

Understanding the Influence of Partnership Structure on the Outcomes of Community Sustainability Plans

The intern’s study builds on an international survey previously completed in partnership with ICLEI. The study aims to test key structural features in the partnerships for implementing community sustainability plans and how these features are related to plan outcomes (i.e., sustainability progress). To study structure features, the intern will test key factors, such as partner engagement, decision-making systems, communication process & monitoring/reporting procedures, and their relationships with outcomes. This will be done through statistical analysis. The ways community resources (e.g.