Energy Use, Efficiency and Distribution

Access the recording to listen to experts Sangkee Min, Eric Severson and Line Roald.

Time	Details
	Welcome Message Dan Thoma, Director, Grainger Institute for Engineering
5:08-29:16	“Smart Manufacturing: Real-Time Detection of Defects and Anomalies of Manufacturing Process using IIOT and Deep Learning” Sangkee Min, Assistant Professor, Department of Mechanical Engineering

With a simple sensor implementation or extraction of data from the controller manufacturing equipment, real-time monitoring of manufacturing process can detect defects and anomaly of the process. As an example, cold-forging process in real industry was used to demonstrate the concept.30:25-59:06“Lose Your Bearings: Energy and Sustainability Opportunities with Magnetically Suspended Motor Shafts”
Eric Severson, Assistant Professor, Department of Electrical and Computer Engineering

Mechanical motor bearings are the first components to fail in an electric motor system, create frictional losses, and rely on lubricants that create contamination challenges and require periodic maintenance. In short, bearings are the Achilles’ heel of modern electric motors. This presentation will discuss new “bearingless” motors and their potential to revolutionize systems that rely on electric motors–from industrial compressors and blowers, such as those found in HVAC systems and wastewater aeration equipment, to flywheel energy storage devices and electric turbochargers in fuel-efficient vehicles.1:00:10-1:32:30“Enabling a Sustainable, Resilient Electric Grid through Data-Driven Optimization”
Line Roald, Assistant Professor, Department of Electrical and Computer Engineering

The electric grid is a key component in enabling the transition to a sustainable, resilient energy system. At the same time, this transition challenges the ability of the grid to accommodate highly variable, uncertain renewable energy and remain operational during severe weather conditions. In this talk, we discuss how our research utilize probabilistic data and optimization to develop decision support tools that enable secure and economic operation of the electric grid, with a focus on integration of large shares of renewable energy and better management of wildfire risk.
Panel Q&A

Materials, Processing, and Devices for Next Generation Quantum Computing

Access the recording the latest cutting edge research in quantum science and information.

Time	Details
	Welcome Message Dan Thoma, Director, Grainger Institute for Engineering
5:50-40:55	“New epitaxial growth approaches for integrating topological and magnetic materials with semiconductor substrates” Jason Kawasaki, Assistant Professor, Department of Materials Science Engineering Topological and magnetic materials host exotic properties with potential applications in spintronics and quantum computing; however, it is an outstanding challenge to integrate these materials epitaxially with industrially relevant substrates like GaAs and Si. This features a few new approaches for the epitaxial integration of topological materials with common semiconductor substrates.
40:56-1:14:20	“Phase Engineering on Quantum Materials and Devices” Ying Wang, Assistant Professor, Department of Electrical and Computer Engineering The emergent quantum materials, such as 2D Van der Waals materials and topological materials, exhibit many unconventional properties like reduced dielectric screening, divergent quantum geometry, and nontrivial topology. The phase engineering or transformation of the atomic building blocks in these quantum platforms promises to deepen our understanding of their unique structure-property relationship, breed novel computational device concepts, and revolutionize technologies in data storage and thermal management. This talk will introduce our experimental progress for structural phase engineering in quantum materials and their practical possibilities for neuromorphic computing and nanoscale energy management.
1:14:46-1:49:40	“Understanding the source and role of defects in 2D heterostructures: a path to expanding the exploration of quantum phenomena in 2D materials “ Daniel Rhodes, Assistant Professor, Department of Materials Science Engineering My current research focuses on achieving the low disorder limit in van der Waals heterostructures of crystalline materials with direction towards observing novel quantum phenomena. In the past, achieving this low disorder regime has proved difficult, but new strategies have opened doors to accessing these sensitive electronic states. Ultimately,  electrostatic control over these quantum phenomena – topology, superconductivity, and the like, may be used for future quantum computing needs.
	Panel Q&A