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DTSTART;TZID=America/Chicago:20260306T153000
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DTSTAMP:20260611T053459
CREATED:20260212T194044Z
LAST-MODIFIED:20260219T154625Z
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SUMMARY:Physics Colloquium - Eitan Geva
DESCRIPTION:Combining Quantum Master Equations with Linearized Semiclassical Methods to Simulate Electronic Energy & Charge Transfer Dynamics in Complex Molecular Systems\nProfessor Eitan Geva\, Department of Chemistry\nUniversity of Michigan – Ann Arbor \nPhoto-induced electronic energy and charge transfer plays a key role in a variety of chemical\, biological and technologically-important molecular systems. The simulation of the\nunderlying electronic dynamics is challenging due to its intrinsically quantum mechanical nature and the large number of coupled electronic and nuclear degrees of freedom involved. Quantum master equations provide a flexible and general-purpose framework for addressing this challenge. \nIn this talk\, I will overview computational approaches for simulating photo-induced electronic energy and charge transfer dynamics in complex molecular systems that were developed and explored by my group\, which combine various types of quantum master equations with linearized semiclassical methods.
URL:https://uwm.edu/physics/event/physics-colloquium-eitan-geva/
LOCATION:Chemistry 108\, 2050 E Kenwood Blvd\, Milwaukee\, WI\, 53201\, United States
CATEGORIES:Physics Colloquia
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DTSTART;TZID=America/Chicago:20260313T130000
DTEND;TZID=America/Chicago:20260313T140000
DTSTAMP:20260611T053459
CREATED:20260130T140719Z
LAST-MODIFIED:20260312T152211Z
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SUMMARY:CGCA Seminar - León Salas
DESCRIPTION:Black Holes: Bridging Simulations and Observations\nLeón Salas\nUniversity of Wisconsin-Milwaukee \nIn recent years\, General Relativistic Magnetohydrodynamic (GRMHD) simulations\, combined with multiwavelength observations have provided critical insights into the nature of radiation from accreting black holes. These simulations have revealed a particularly interesting magnetically arrested disk (MAD) regime whereby the accretion is choked by strong magnetic fields. The higher magnetic flux characteristic of the MAD regime leads to new dynamics\, including interchange-type accretion modes and flux eruptions. Polarization measurements by the Event Horizon Telescope (EHT) from the supermassive black holes M87* and Sagittarius A* (Sgr A*) favor MAD states. However\, nearly all MAD models exhibit greater 230 GHz flux variability than seen in historical observations of Sgr A*.  \nIn this talk\, I will present my investigation on the dynamics of MAD GRMHD simulations and the (sub)millimeter variability of Sgr A* focusing on the poorly understood electron thermodynamics. In addition\, I will talk about the multiwavelength signatures of a black hole X-ray binary outburst simulation to understand how synchrotron emission from the accretion disc and jet contribute to the X-ray emission and potentially influence observables such as polarization. Finally\, I will show a library of polarized images that will be used for training PRIMO\, a machine learning–based image reconstruction code. PRIMO has enabled higher-resolution imaging of M87* using EHT data acquired in 2017\, even in the presence of sparse data coverage. We aim to extend these results by imaging polarized data from 2017 to 2025\, which are characterized by progressively improved baseline coverage\, and to provide essential groundwork for the first multi-month EHT movie campaign of M87*\, which has already started this week.
URL:https://uwm.edu/physics/event/cgca-seminar-leon-salas/
LOCATION:Kenwood IRC 2175\, Milwaukee\, WI\, 53211\, United States
CATEGORIES:CGCA Seminars
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DTSTART;TZID=America/Chicago:20260318T143000
DTEND;TZID=America/Chicago:20260318T163000
DTSTAMP:20260611T053459
CREATED:20260317T150132Z
LAST-MODIFIED:20260317T150132Z
UID:10435395-1773844200-1773851400@uwm.edu
SUMMARY:Physics Colloquium - Adam Opperman
DESCRIPTION:Manifold-based Machine Learning for Scattering Data\nAdam Opperman\, PhD Candidate\nUniversity of Wisconsin-Milwaukee Department of Physics & Astronomy \nSmall Angle X-ray Scattering (SAXS) is a technique used to capture X-ray diffraction images of proteins in solution\, mimicking biological conditions.  These images provide insight into the overall shape and structure of the protein.   By imaging the protein system at various times during a reaction\, dubbed time-resolved SAXS (TR-SAXS)\, the evolution of the protein structure is observed.   These measurements are commonly taken at X-ray Free Electron Laser (XFEL) facilities which generate X-rays with precision and high flux.   The Compact X-ray Light Source (CXLS) and accompanying Compact X-ray Free Electron Laser (CXFEL) are under construction at Arizona State University.  Due to the compact nature of the source in combination with the yet incomplete development\, CXFEL has a reduced level of photon flux available compared to other XFELs.  Due to this constraint\, new analytical methods are needed to process TR-SAXS data. \nWe propose an application of a manifold-based machine learning technique called Non-linear Laplacian Spectral Analysis (NLSA) to address this issue.  This graph-theoretic algorithm maps data into an intrinsic subspace in which dynamic information can be extracted with high fidelity.  To verify the applicability of NLSA\, we simulated TR-SAXS data from two different protein systems: Calmodulin and Photoactive Yellow Protein.  The simulations were done within the bounds of the expected capabilities of the CXFEL.  Then\, we applied NLSA to each dataset to extract kinetic and spatial information.   We compared the results to those from Singular Value Decomposition (SVD)\, the current standard method of analysis.  We find that NLSA provides significantly more accurate and consistent structural kinetics information compared to that of SVD.   Further\, NLSA is more capable of identifying temporal trends in cases of extreme timing uncertainty.
URL:https://uwm.edu/physics/event/physics-colloquium-adam-opperman/
LOCATION:Kenwood IRC 2035\, 3135 N Maryland Ave\, Milwaukee\, 53211\, United States
CATEGORIES:Physics Colloquia
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