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DTSTART;TZID=America/New_York:20220711T120000
DTEND;TZID=America/New_York:20220711T130000
DTSTAMP:20260405T231117
CREATED:20220601T150235Z
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SUMMARY:PSOC@Penn: “Fat accumulation induces heterogeneous regions of softness in fatty liver” (David Li)
DESCRIPTION:Contact manu@seas.upenn.edu for the Zoom link.
URL:https://seasevents.nmsdev7.com/event/psocpenn-fat-accumulation-induces-heterogeneous-regions-of-softness-in-fatty-liver-david-li/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220712T100000
DTEND;TZID=America/New_York:20220712T113000
DTSTAMP:20260405T231117
CREATED:20220630T131730Z
LAST-MODIFIED:20220630T131730Z
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SUMMARY:MEAM Seminar: "Sedimentation of Active Suspensions: Hindrance and Phase-separation"
DESCRIPTION:Sedimentation of active matter is found in many natural and industrial processes. It plays an important role on the distribution of plankton in oceans\, which is key part of the carbon cycle (i.e. ocean’s biological pump) that transports carbon from the ocean’s surface to depth. In this seminar\, I will present an investigation on the dynamics of the sedimentation of spherical colloids in presence of swimming microorganisms at various concentration within the dilute regime. In the first part of this talk\, I will show how bacterial activity hinders the sedimentation speeds of passive particle. These results can be described by an advection-diffusion equation with an added population dynamics term. In the second part of this talk\, I will show the appearance of two sedimentation fronts\, particle and bacterial. Even passive systems of poly-dispersed (by size) particles are known to show segregating sedimentation fronts; larger (and faster) settling particles will separate from smaller (and slower) ones\, given enough time. Here\, I will show how the increase of activity affects sedimentation speeds and the timescales associated with the appearance of the bacteria front. These timescales associated with the second front leads to a phenomenological model that captures the sedimentation of passive particles in active fluids.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-sedimentation-of-active-suspensions-hindrance-and-phase-separation/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220713T100000
DTEND;TZID=America/New_York:20220713T110000
DTSTAMP:20260405T231117
CREATED:20220629T144235Z
LAST-MODIFIED:20220629T144235Z
UID:10007208-1657706400-1657710000@seasevents.nmsdev7.com
SUMMARY:ESE Ph.D. Thesis Defense: "Optical and Spin Dynamics of Quantum Emitters in Hexagonal Boron Nitride at Room Temperature"
DESCRIPTION:Hexagonal boron nitride (h-BN) is a van der Waals material that hosts defect-based quantum emitters (QEs) at room temperature\, providing an unparalleled platform for realizing devices for quantum technologies and studying light-matter interactions. Recent observations suggest the existence of multiple distinct defect structures responsible for QEs. Theoretical proposals suggest vacancies\, substitutional atoms\, and their complexes as likely defect candidates. However\, experimental identification of the QEs’ electronic structure is lacking\, and key details of the QEs’ charge and spin properties remain unknown. This thesis focuses on understanding the optical and spin dynamics of QEs in h-BN at room temperature. Starting with the motivation for studying quantum systems and QEs\, this thesis introduces QEs in h-BN and discusses its current understanding. Next\, it discusses the materials and methods developed and utilized during the course of this thesis. Next\, it discusses the optical dynamics acquired using photoluminescence spectroscopy and photon emission correlation spectroscopy (PECS) and shows several QEs exhibit pure single-photon emission. It discusses the complex optical dynamics associated with excitation and relaxation through multiple electronic excited states – revealed by PECS and polarization-resolved excitation and emission. Following\, it presents the optical dynamics simulations of electronic structure models that are consistent with the observations\, and discusses the results in the context of ab initio theoretical calculations. Next\, it discusses magnetic-field-dependent PECS that can be used as a framework to probe the presence of single spins that are otherwise elusive. Following\, it presents detection and confirmation of single-spin using optically detected magnetic resonance. Finally\, it discusses the spin dynamics and time-domain measurements acquired using optical and microwave pulse protocols crucial to developing methods to coherently control the QE’s spin. To conclude\, it discusses the future directions that can help identify the chemical nature of QEs in h-BN and establish it as a scalable material platform for quantum technologies.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-optical-and-spin-dynamics-of-quantum-emitters-in-hexagonal-boron-nitride-at-room-temperature/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220714T100000
DTEND;TZID=America/New_York:20220714T120000
DTSTAMP:20260405T231117
CREATED:20220630T202745Z
LAST-MODIFIED:20220630T202745Z
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SUMMARY:ESE Ph.D. Thesis Defense: "Learning Environmental Models with Multi-Robot Teams Using a Dynamical Systems Approach"
DESCRIPTION:Robots have the capability to sense and track natural phenomena for environmental monitoring\, deepening our understanding of the world. Robotic modeling of such phenomena is essential to operating in complex environments\, allowing robots to perform in more realistic scenarios. Thus\, representing complex environments is paramount to the success of multi-robot teams. While considerable efforts have been made for modeling with multi-robot teams\, specifically in coordination and distributed methods\, these techniques have limitations in spatiotemporal\, complex environments. These environments can be vastly different\, such as fluid flows\, oceans\, and space. Robots operating in these environments typically create representations of their surroundings using computationally expensive techniques or by leveraging human expert knowledge. \nInterestingly\, though these environmental processes may seem unrelated\, they can all be analyzed with dynamical systems theory. This thesis presents methods for representing the environment as a dynamical system with machine learning techniques. We formulate machine learning methods that lend to data-driven modeling of the phenomena for robotic applications\, specifically using dimensionality reduction techniques and kernel methods. The data-driven modeling explicitly leverages theoretical foundations of dynamical systems theory. Dynamical systems theory offers mathematical and physically interpretable intuitions about the environmental representation. The procedures presented include distributed algorithms\, online adaptation\, uncertainty quantification\, and feature extraction to allow for the actualization of these techniques on-board robots. The environmental representations guide robot behavior in developing strategies such as optimal sensing and energy-efficient navigation. The methods and procedures provided in this thesis were verified across prototypical environments and on experimental robots.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-learning-environmental-models-with-multi-robot-teams-using-a-dynamical-systems-approach/
LOCATION:PERCH 303\, Pennovation 3rd Floor\, 3401 Grays Ferry Avenue\, Bldg 6176\, Philadelphia\, PA\, 19146\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220714T123000
DTEND;TZID=America/New_York:20220714T143000
DTSTAMP:20260405T231117
CREATED:20220617T153612Z
LAST-MODIFIED:20220617T153612Z
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SUMMARY:ESE Ph.D. Thesis Defense: "Creating dynamical robots of different morphologies and sizes through automatic origami design"
DESCRIPTION:Origami robots are machines whose morphologies and functions are created by folding locally flat sheets. This thesis makes three contributions to the design and fabrication of origami robots aimed at the development of an automated computational pipeline for the specification and construction of widely different morphologies and body sizes capable of highly dynamic operation. The initial contribution recruits recent advances in the design of compliant folded structures to build the first soft robots that exhibit highly dynamic behavior. Specifically\, the proof-of-concept robots reported here achieve their juggling and hopping behaviors by actuating their origami springs as power-cascading devices. Second\, this thesis advances the origami design literature by automating the construction of compliant origami kinematic chains. The “Kinegami” algorithm reported here accepts a Denavit-Hartenberg kinematic specification and uses a catalog of tunably compliant origami modules to generate a crease pattern that folds into the prescribed serial robot mechanism. Finally\, the thesis addresses the problem of scalability in general (not just origami) robot design by studying the simultaneous interaction of structural integrity and actuator affordance. Four contrasting abstract task domains impose different scaling criteria that reveal the relative advantages and disadvantages of three distinct structural principles combined with three different actuator types. For example\, applying the unloaded dynamic task criterion to a direct drive actuation type reveals that the origami-style shell structure supports superior length scale-up. An accompanying empirical study confirms that structural alternatives cannot achieve a one-degree-of-freedom hopping task at the same five-fold scale-up of the original hopper design exhibited by the shell structure design. \nConsidered in isolation\, these contributions advance\, respectively\, the recent soft robotics literature\, the older origami design literature\, and the traditional engineering scaling literature. Considered together\, they advance the agenda for the rapid\, computer-assisted design of customized\, high-performance robots.
URL:https://seasevents.nmsdev7.com/event/ese-ph-d-thesis-defense-creating-dynamical-robots-of-different-morphologies-and-sizes-through-automatic-origami-design/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220715T120000
DTEND;TZID=America/New_York:20220715T130000
DTSTAMP:20260405T231117
CREATED:20220628T165440Z
LAST-MODIFIED:20220628T165440Z
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SUMMARY:Quantum Engineering Summer Seminar Series: William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-william-oliver-phd-superconducting-qubits-mit-and-mit-lincoln-labs/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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