BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Nicole Yunger Halpern (NIST\, QuICS and University of Maryland) DTSTART:20220711T170000Z DTEND:20220711T180000Z DTSTAMP:20260404T111212Z UID:IIPSeminar2022/1 DESCRIPTION:Title: MBL-mobile: Many-body-localized engine\nby Nicole Yunger Halpern (NIST\, QuICS and University of Maryland) as part of Virtual Semi nar of the International Institute of Physics 2022\n\n\nAbstract\nMany-bod y-localized (MBL) systems do not thermalize under their intrinsic dynamics . The athermality of MBL\, we propose\, can be harnessed for thermodynamic tasks. We illustrate this ability by formulating an Otto engine cycle for a quantum many-body system. The system is ramped between a strongly local ized MBL regime and a thermal (or weakly localized) regime. The difference between the energy-level correlations of MBL systems and of thermal syste ms enables mesoscale engines to run in parallel in the thermodynamic limit \, enhances the engine’s reliability\, and suppresses worst-case trials. We estimate analytically and calculate numerically the engine’s efficie ncy and per- cycle power. The efficiency mirrors the efficiency of the con ventional thermodynamic Otto engine. This work introduces a thermodynamic lens onto MBL\, which\, having been studied much recently\, can now be lev eraged in thermodynamic tasks\n LOCATION:https://stable.researchseminars.org/talk/IIPSeminar2022/1/ END:VEVENT BEGIN:VEVENT SUMMARY:Kathryn Tunyasuvunakool (DeepMind) DTSTART:20221031T170000Z DTEND:20221031T180000Z DTSTAMP:20260404T111212Z UID:IIPSeminar2022/2 DESCRIPTION:Title: Highly accurate protein structure prediction with AI\nby Kathryn Tunyasuvunakool (DeepMind) as part of Virtual Seminar of the Inte rnational Institute of Physics 2022\n\n\nAbstract\nThere is increasing int erest in applying AI methods to problems in the sciences. Particularly in biology\, these methods hold the promise of extracting actionable hypothes es from complex data\, and developing practically useful predictive models . In this talk\, I'll discuss a specific example: the recent progress in p redicting a protein's 3D structure from its amino acid sequence\, in parti cular using the model AlphaFold. While the focus will be on how this model works and how it's being applied in the life sciences\, I'll also try to touch on the relationship between AlphaFold and protein physics.\n LOCATION:https://stable.researchseminars.org/talk/IIPSeminar2022/2/ END:VEVENT BEGIN:VEVENT SUMMARY:Isabel Garcia Garcia (NYU and IAS\, Princeton) DTSTART:20221107T170000Z DTEND:20221107T180000Z DTSTAMP:20260404T111212Z UID:IIPSeminar2022/3 DESCRIPTION:Title: Gravity and Effective Field Theory\nby Isabel Garcia Gar cia (NYU and IAS\, Princeton) as part of Virtual Seminar of the Internatio nal Institute of Physics 2022\n\n\nAbstract\nFrom the cosmological constan t to the smallness of the weak scale to the strong-CP problem\, the proble ms of the Standard Model are problems of effective field theory. Yet impro vements in our understanding of gravity -- from the absence of global symm etries to the subextensive entropy of black holes -- challenge some of our long-held views on the applicability of this framework.\n\nI will discuss how gravitational considerations provide an opportunity to get a new pers pective on some of the long-standing puzzles in particle physics. I will e mphasize the role of semiclassical gravity techniques and black hole thoug ht experiments on our improved understanding of gravitational theories\, a nd argue that only a combination of new theoretical developments and origi nal ideas\, confronted with the vast array of experiments at our disposal\ , will provide us with the big picture we need to discover what comes next .\n LOCATION:https://stable.researchseminars.org/talk/IIPSeminar2022/3/ END:VEVENT END:VCALENDAR