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DTSTART;TZID=America/Los_Angeles:20201203T120000
DTEND;TZID=America/Los_Angeles:20201203T120000
DTSTAMP:20260618T193046
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LAST-MODIFIED:20201124T234330Z
UID:13396-1606996800-1606996800@www.chemistry.ucla.edu
SUMMARY:Chem 218: First Principles Many-Body Theory and Quantum Dynamics for Materials Prediction - Prof. Yuan Ping\, UCSC
DESCRIPTION:First Principles Many-Body Theory and Quantum Dynamics for Materials Prediction  \nMaterials prediction is the ultimate solution for ending blind experimental search within an expansive material parameter space. First-principles theory entirely based on quantum mechanics without prior input parameters is the perfect tool for new material design. In order to predict exotic quantum materials and out-of-equilibrium processes\, many-body physics and quantum kinetic theory are needed to bridge with first-principles methods. \nIn this talk\, I will discuss the past development on theory and numerical codes of solving the Bethe-Salpeter equation without explicit empty states\, for accurate prediction of optical excitation and exciton recombination. I will show the recent developments on radiative and phonon-assisted nonradiative exciton recombination in two-dimensional materials and spin defects.  Next\, I will show our recent method development on real-time quantum dynamics with coupled spins\, electrons\, photons and phonons based on first-principles density-matrix approach. This method will offer new and unbiased insights for spin relaxation and decoherence in general systems\,  and determine design rules for new quantum materials with ideal physical properties for spintronics and quantum information science.
URL:https://www.chemistry.ucla.edu/seminars/chem-218-first-principles-many-body-theory-and-quantum-dynamics-materials-prediction-prof/
CATEGORIES:Other,Seminars
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201203T160000
DTEND;TZID=America/Los_Angeles:20201203T160000
DTSTAMP:20260618T193046
CREATED:20201030T163609Z
LAST-MODIFIED:20201030T163609Z
UID:13388-1607011200-1607011200@www.chemistry.ucla.edu
SUMMARY:Lessons from molecular evolution: from origin of life to phage-based nanomaterials
DESCRIPTION:Abstract: \nMolecular evolution is a walk over a fitness landscape\, in which populations explore sequence space through mutation and ‘climb’ up fitness peaks. The topography of the fitness landscape governs potential pathways for evolution and determines whether fitness can be optimized by natural selection. We are making exhaustive maps of fitness landscapes for catalytic RNA (ribozymes) by combining in vitro selection with a massively parallel kinetic assay using high-throughput sequencing. In addition\, we take advantage of the ongoing natural selection of phages in order to engineer phage-based nanomaterials for detection and killing of pathogenic bacteria. These nanomaterials combine evolutionarily optimized attachment strategies of phages with the controllable nature of nanomaterials to circumvent some obstacles to phage therapy.
URL:https://www.chemistry.ucla.edu/seminars/lessons-molecular-evolution-origin-life-phage-based-nanomaterials/
CATEGORIES:Organic Colloquium,Seminars
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