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DTSTAMP:20261111T112637
DTSTART;TZID=America/Detroit:20261112T153000
DTEND;TZID=America/Detroit:20261112T163000
SUMMARY:Conference / Symposium:Cosmological results from the Dark Energy Spectroscopic Instrument
DESCRIPTION:A quarter-century after the discovery of the accelerated expansion of the universe\, the constraints on dark energy that powers this acceleration have become very good\, but the physical nature of dark energy remains elusive. I will present and discuss cosmological results from the measurement of baryon acoustic oscillations (BAO) in the three years of observations from the Dark Energy Spectroscopic Instrument. These results\, when combined with other data\, have indicated a possible new anomaly in the behavior of dark energy\, which has caused both excitement and consternation in the field of cosmology. I will discuss these findings and their implication for our understanding of the physics of the universe.
UID:154544-21917917@events.umich.edu
URL:https://events.umich.edu/event/154544
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Talk,AEM Featured,astrophysics,Colloquium,Colloquium Series,Physics
LOCATION:West Hall - 411
CONTACT:
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DTSTAMP:20260909T145538
DTSTART;TZID=America/Detroit:20261112T153000
DTEND;TZID=America/Detroit:20261112T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Battery SoX Intelligence: Millivolts Unlocking Gigawatt-hours
DESCRIPTION:Abstract: \nScaling grid storage with repurposed EV batteries requires precise degradation tracking. For LFP\, a flat open-circuit voltage curve obscures cell aging. This presentation demonstrates how monitoring millivolt-level behaviors extracts gigawatt-hours of latent capacity. By combining physics-informed models with electrochemical state estimation\, we resolve LFP and graphite phase-transitions. Operational data shows how these voltage signatures drive predictive aging forecasts and anomaly detection\, unlocking safe operation beyond industry-standard warranties. \n\nBiography:\nDr. Kandler Smith is Technical Fellow for Energy Storage Modeling at Moment Energy\, a second-use battery energy storage company. He previously worked for 19 years at U.S. DOE’s National Renewable Energy Laboratory as Team Lead for Electrochemical Modeling & Data Sciences\, developing multi-physics models of battery performance\, lifetime\, safety and technoeconomics. He holds a PhD in mechanical engineering from Penn State University (2006) where his research focused on electrochemical modeling\, estimation and control of lithium-ion batteries.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147951-21902586@events.umich.edu
URL:https://events.umich.edu/event/147951
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Research,Sustainability,Social Sciences,seminar,Science,CAEN,Nuclear Engineering and Radiological Sciences,North Campus,Naval Architecture and Marine Engineering,Michigan Engineering,Mechanical Engineering,Materials Science,Law,Interdisciplinary,Industrial and Operations Engineering,Free,Environment,Engineering,Energy,Electrical Engineering and Computer Science,Civil and Environmental Engineering
LOCATION:Francois-Xavier Bagnoud Building - FXB1012
CONTACT:
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