MEMS/MatSci Seminar: Halide perovskites: fundamental understanding and application aspects

PRESENTER
Jinsong Huang, UNC

The research of halide perovskite solar cells continues to boom with device energy conversion efficiency approaching that of single crystal silicon solar cells. Many unique properties have been discovered in halide perovskites, which may or may not explain the high efficiency in solution processed polycrystalline solar cells. I will present the advance in understanding the optoelectronic properties and electromechanical properties of halide perovskites. Our progress of material and device engineering of perovskite solar cells will also be presented and scaling up for commercialization will be briefed. The discovery of the extraordinary properties enables new application of halide perovskite in photodetectors, synapes, light emitting diodes, radiation detection beyond solar cells. Learn more here.

Machine Learning Seminar: Probabilistic Projection of Carbon Emissions


Speaker: Adrian Raftery (Univ. of Washington Statistics/Sociology)

The Intergovernmental Panel on Climate Change (IPCC) recently published climate change projections to 2100, giving likely ranges of global temperature increase for each of four possible scenarios for population, economic growth and carbon use. We develop a probabilistic forecast of carbon emissions to 2100, using a country-specific version of Kaya's identity, which expresses carbon emissions as a product of population, GDP per capita and carbon intensity (carbon per unit of GDP). We use the UN's probabilistic population projections for all countries, based on methods from our group, and develop a joint Bayesian hierarchical model for GDP per capita and carbon intensity in most countries. In contrast with opinion-based scenarios, our findings are statistically based using data for 1960-2010. We find that our likely range (90% interval) for cumulative carbon emissions to 2100 includes the IPCC's two middle scenarios but not the lowest or highest ones. We combine our results with the ensemble of climate models used by the IPCC to obtain a predictive distribution of global temperature increase to 2100. This is joint work with Dargan Frierson (UW Atmospheric Science), Richard Startz (UCSB Economics), Alec Zimmer (Upstart), and Peiran Liu (UW Statistics).

Seminar: A Machine Learning Approach to Modeling Human Interaction with Autonomous Vehicles

There is significant interest in the development and deployment of safety-critical technologies with embedded autonomy. However, most of these systems require some form of human interaction whether it is humans supervising these systems like a drone operator, or people working in and around the system such as pedestrians and driverless cars. This talk will describe an unsupervised learning approach to modeling human interaction with autonomous systems and how such models can be used to diagnose system design issues.

Undergrad-Graduate Energy Career Mixer

Wonder what a job in energy might look like? Perhaps you'd like to hear from a bunch of Duke grad students who've worked all over the energy sector? Sign up for your chance to pepper the pros with your career questions. Refreshments provided; registration is required. Co-sponsored by the Duke Undergraduate Energy Club with help from a whole lotta grad students. RSVP here.

Carbon Trading Simulation

Co-sponsored by the Nicholas Institute for Environmental Policy Solutions; Energy Initiative; Nicholas School Energy Club; Sustainable Duke; and the Center for Energy, Development, and the Global Environment

Climate Controversies: A Discussion of Proposed Policy Changes at EPA, DOE and FERC on Greenhouse Gas Emissions from Electric Power and Vehicles

The Trump Administration has proposed a number of important rules that would have a significant effect on mobile and stationary sources of greenhouse gas emissions. These include the Environmental Protection Agency's new Affordable Clean Energy Rule (ACE), which regulates emissions from power plants (a proposed replacement for the Obama EPA's Clean Power Plan), and the new Safer Affordable Fuel-Efficient Vehicles Rule (SAFE Vehicles Rule), which regulates emissions and fuel economy for cars and light trucks (a proposed change to the Obama EPA's rule). There have also been significant developments at the Department of Energy and the Federal Energy Regulatory Commission that could affect coal-fired electric utility generating units and renewable energy sources. These proposals face resistance from environmental groups and states concerned about the potential impact of greenhouse gas emissions, with challenges to the proposals likely to be decided by the courts.

This session will explore the the policy and legal implications of these developments. The event will feature remarks by Kate Konschnik and Jennie Chen of the Nicholas Institute and will be moderated by Jonathan Wiener of the Rethinking Regulation program.

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