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        "event_title":"Cosmological results from the Dark Energy Spectroscopic Instrument",
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        "combined_title":"Cosmological results from the Dark Energy Spectroscopic Instrument: Dr. Dragan Huterer",
        "event_subtitle":"Dr. Dragan Huterer",
        "event_type":"Conference \/ Symposium",
        "event_type_id":"5",
        "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.",
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        "tags":["Talk","AEM Featured","astrophysics","Colloquium","Colloquium Series","Physics"],
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        "datetime_start":"20261112T153000",
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        "event_title":"IES Energy Seminar Series - Battery SoX Intelligence: Millivolts Unlocking Gigawatt-hours",
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        "combined_title":"IES Energy Seminar Series - Battery SoX Intelligence: Millivolts Unlocking Gigawatt-hours: Kandler Smith, Moment Energy",
        "event_subtitle":"Kandler Smith, Moment Energy",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "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\u2019s 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",
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