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Kerstin Kleese van Dam (Brookhaven National Laboratory)19/10/2022, 11:00
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Dexin Wang (PNNL)19/10/2022, 11:10
Abstract: The increasing penetration of renewable generation imposes challenges on power system operation due to its natural uncertainty and variability. Energy storage can save energy from electricity at a point in time for later use and respond instantaneously to unpredictable variations in demand and generation. Various energy storage technologies, such as batteries, pumped hydro,...
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Chen Ling (Toyota Research Institute of North America)19/10/2022, 11:40
Abstract: Batteries dominate the power source of portable electronic devices. Yet in large scale applications the requirement remains to improve the battery performances and reduce the cost. It urges the research of new battery chemistries as well as seeking better strategies for the deployment and recycling. The traditional simulation and experiment methods in battery research usually...
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Alejandro A. Franco (Université de Picardie Jules Verne and Institut Universitaire de France)19/10/2022, 12:10
Abstract: The needed significant deployment of rechargeable lithium ion batteries (LIBs), in particular to satisfy the demand from the Electric Vehicle (EV) sector, triggers the massive planification and deployment of giga-factories to reduce the cost of production. This is accompanied by efforts at the lab or pilot line scales to further optimize LIBs in terms of performance, durability,...
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Noah Paulson (Argonne National Laboratory, Data Science and Learning and Applied Materials Divisions )19/10/2022, 12:40
Abstract: Lithium-ion battery life prediction is a critical component of the clean energy transition as it enables accelerated development of new battery designs and materials and reduces deployment risk in transportation and grid storage. This is challenging due to diverse failure modes and rates that are a function of battery chemistry, design, and usage scenario. In this work, we...
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Santenu Chaudhuri (Argonne National Laboratory)19/10/2022, 13:10
Abstract: Artificial intelligence is revolutionizing science and engineering. As we transition from traditional energy sources to an electrified and decarbonized economy, the need for better data systems ready for application of AI in manufacturing and operations of energy systems is critically important. In order to accelerate materials scale-up and manufacturing. we have created a new...
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Elvis G. Fefey (Texas State University)19/10/2022, 13:40
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Nick Stapleton (California Polytechnic State University)19/10/2022, 13:45
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Alif Bin Abdul Qayyum (Texas A&M University)19/10/2022, 13:50
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Michael Zhang (Ward Melville High School)19/10/2022, 13:55
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Arunavo Dey (Texas State University)19/10/2022, 14:00
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A N M Nafiz Abeer (Texas A&M University)19/10/2022, 14:05
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Liang Jiang (Pritzker School of Molecular Engineer, University of Chicago)19/10/2022, 14:25
Abstract: We propose the Quantum Data Center (QDC), an architecture combining Quantum Random Access Memory (QRAM) and quantum networks. We give a precise definition of QDC, and discuss its possible realizations and extensions. We discuss applications of QDC in quantum computation, quantum communication, and quantum sensing, with a primary focus on QDC for T-gate resources, QDC for...
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Anthony Brady (University of Arizona and SQMS)19/10/2022, 14:55
Abstract: Dark matter (DM) governs the large scale structure of the cosmos and dominates the matter budget in the universe, yet we know very little about its material composition. Currently, there are large-scale efforts to unveil the mysteries of dark matter, from astrophysical probes to terrestrial tabletop experiments. Example technologies in the hunt for dark matter are small...
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Sara Eftekharnejad (Syracuse University)19/10/2022, 15:25
Abstract: Enhanced real-time situational awareness and increased integration of renewable energy resources are two critical aspects of the smart grids that ensure sustainable and reliable sources of electricity. However, the unprecedented increase in intermittent wind and solar energy resources along with growing severe weather patterns may put these objectives at odds with each other if...
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Quan Nguyen (Pacific Northwest National Laboratory)19/10/2022, 15:55
Abstract: This presentation summarizes selected research capabilities related to wind energy integration at PNNL to support DOE’s decarbonization goal. First, given the increasing capacity and high variation of onshore and offshore wind generation, advanced high-power and flexible transmission technologies are greatly needed. Such alternative technologies for conventional 60-Hz...
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Yousu Chen (Pacific Northwest National Laboratory)20/10/2022, 11:40
Abstract: With the significantly increased penetration of grid dynamics and variability of renewable power generation, power systems have been evolving in a fast pace that we have never seen in the history of electrification. Power system engineers are facing a fundamental challenge of handling such dynamic and multi-scale system behaviors. Quantum computing (QC) as an emerging technology...
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Andrew Baczewski (Sandia National Laboratory)20/10/2022, 12:10
Abstract: Quantum computers might eventually be used to simulate quantum systems more accurately than classical computers. But it isn't yet clear how large or reliable such a machine would need to be to be scientifically useful for many applications in plasma physics, like inertial confinement fusion. We begin to address these questions for calculations of transport properties like...
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Katie Klymko (NERSC Lawrence Berkeley Laboratory (LBL))20/10/2022, 12:40
Abstract: The question of how quantum computing will impact and integrate with HPC over the next decade has become increasingly important as quantum hardware matures. In this talk I will discuss the steps NERSC, the primary scientific computing facility for the Office of Science in the U.S. Department of Energy, is taking to address this question. In particular, I will describe our joint...
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Gavin Jones (IBM)20/10/2022, 13:10
Abstract: This presentation will provide a general overview of quantum computing for applications in chemistry. It will begin by focusing on some early progress made by our researchers at IBM Quantum, then will delve into some very long-term use cases. Next, the talk will discuss some perspectives on what is possible today and will conclude by describing some of the near-term use cases....
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Hamid Tebyanian (University of York)20/10/2022, 13:40
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Gilchan Park (BNL)20/10/2022, 13:45
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Huo Chen (LBL)20/10/2022, 13:50
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Joseph C. Chapman (Oak Ridge National Laboratory)20/10/2022, 13:55
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Mohammad Zaeeda (Texas State University)20/10/2022, 14:00
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Meifeng Lin (Brookhaven National Laboratory)20/10/2022, 14:05
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Tong Huang (San Diego State University)20/10/2022, 14:25
Abstract: In this talk, I will present a data-driven algorithm for locating the source of forced oscillations and suggests a physical interpretation for the method. By leveraging the sparsity of forced oscillations along with the low-rank nature of synchrophasor data, the problem of source localization under resonance conditions is cast as computing the sparse and low-rank components using...
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Gabriella Carini (Brookhaven National Laboratory)20/10/2022, 14:55
Abstract: The BNL – SBU (Brookhaven National Laboratory – Stony Brook University) team has built one of the longest and most advanced quantum networks with 98 miles already operational (since 2020) and a recent expansion to 161 miles and five nodes covering Long Island from the two campuses to New York City. Additionally, some of this infrastructure has become available to the community as...
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Yue Zhao (Stony Brook University, Department of Electrical and Computer Engineering)20/10/2022, 15:25
Abstract: With the rapidly evolving penetration of distributed solar generation and electric vehicles (EVs) in power distribution systems, a major issue that utilities face is the lack of visibility into the behaviors of these behind-the-meter (BTM) distributed energy resources (DERs). Knowing the BTM DER behaviors can greatly enhance utilities’ system planning and operation efficacy. In...
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Xin Chen (Massachusetts Institute of Technology)20/10/2022, 15:55
Abstract: With the increase in renewable energy generation and the rapid growth of peak loads, the grid is facing a serious challenge in maintaining power balance. Demand response (DR), which incentivizes end-users to adjust their loads to meet the need of power supply, is an economical and sustainable solution to mitigate this problem. For load service entities (LSEs), the main challenges...
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Sivaranjani Seetharaman (Purdue University)20/10/2022, 16:25
Abstract: Disruptive technological advances in computing, sensing and communication technologies over the last decade have opened up opportunities for smart cities where large-scale cyber-physical infrastructure networks like the power grid can be efficiently monitored, controlled and managed in real-time. However, traditional control techniques do not scale well to such large-scale...
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