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DTSTART;TZID=America/New_York:20200224T150000
DTEND;TZID=America/New_York:20200224T160000
DTSTAMP:20260408T030609
CREATED:20200128T150548Z
LAST-MODIFIED:20200128T150548Z
UID:10006391-1582556400-1582560000@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: Towards a "Greener" Route for Acetic Acid Production via the Carbonylation of Dimethyl Ether Over Small-Pore Molecular Sieves
DESCRIPTION:Abstract: \nCatalyst design is a critical pillar\, and current bottleneck\, in the construction of a sustainable chemical industry. Practical catalytic materials are earth-abundant\, active\, selective\, and stable. Developing materials that meet these criteria is challenging and involves a two-phase process that (1) extracts molecular-level understanding of the origin of reactivity for a given chemical pathway\, and (2) exploits this understanding through tailored synthetic techniques. \nIn this talk\, I will focus on catalyst design for the Koch-type carbonylation pathway\, a reaction that is of practical interest since it provides a rare noble metal- and halide-free route to producing an important chemical intermediate\, acetic acid. I will present the characterization of the reactivity of the small-pore molecular sieve with the chabazite structure for this reaction. From the analysis of materials synthesized with different active site densities and strengths\, in conjunction with theoretical investigations\, we obtain fundamental insights into the descriptors of reactivity for the carbonylation reaction in this small-pore material. These insights\, in turn\, can be used to intelligently direct the investigation of other small-pore molecular sieves with tuned confining environments and chemical compositions\, and motivate the development of synthetic techniques that control active site distributions in a broader range of solid materials. Collectively\, our studies provide a successful example of the first step in the process of tailoring catalytic materials for new applications through rational design methods.
URL:https://seasevents.nmsdev7.com/event/cbe-faculty-candidate-seminar-towards-a-greener-route-for-acetic-acid-production-via-the-carbonylation-of-dimethyl-ether-over-small-pore-molecular-sieves/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T103000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260408T030609
CREATED:20200108T214751Z
LAST-MODIFIED:20200108T214751Z
UID:10006364-1582626600-1582632000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Robot Design Concepts for Intuitive Physical Human-Robot Interaction"
DESCRIPTION:Physical human-robot interaction (pHRI) aims at taking advantage of the complementary capabilities of robots and humans. One of the key challenges in pHRI is to provide a high-bandwidth human-robot interaction that is safe and intuitive for the human user. To this end\, it is proposed in this work to revisit the design of robots in order to provide a low-impedance mechanical interaction. The concept of macro-mini robotic system is used and applied to interactive robotic devices. Also\, the design of backdrivable redundant parallel robots is considered. In this concept\, parallel robots are used to provide backdrivability while kinematic redundancy is introduced to increase the rotational workspace of parallel mechanisms\, by alleviating the singularities. Solutions based on passive or active human-robot interfaces are proposed and examples of implementations are described. Prototypes of robotic systems developed at Université Laval based on the above concepts are demonstrated.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-robot-design-concepts-for-intuitive-physical-human-robot-interaction-2/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut 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:20200225T110000
DTEND;TZID=America/New_York:20200225T120000
DTSTAMP:20260408T030609
CREATED:20200211T144540Z
LAST-MODIFIED:20200211T144540Z
UID:10006405-1582628400-1582632000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Quantum information processing with superconducting circuits:  Purcell effect and the measurement problem"
DESCRIPTION:Abstract\nWith recent advances in state preparation\, gate\, and measurement operations\, superconducting circuit architectures are now leading candidates for quantum information processing. As micro-fabricated circuits are scaled up towards a practical quantum processor\, strict requirements on the fidelity of operations required for quantum computation are imposed. For theorists\, this mandates the development of accurate models describing the dynamics of complex superconducting circuits subject to strong drives. \nThis talk will begin with an elementary introduction to such systems and their description in terms of quantum electrodynamics\, the fundamental theory of light-matter interactions. We will then address the problem of the Purcell effect\, which is the enhancement of the decay rate of a single qubit due to a linear electromagnetic environment\, and show how convergent results can be obtained without any artificial high-frequency cutoffs. We will also explain how the Purcell rate is further enhanced in the presence of the drive fields typically used to measure qubits\, which is a ubiquitous problem encountered in present-day experiments.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-quantum-information-processing-with-superconducting-circuits-purcell-effect-and-the-measurement-problem/
LOCATION:PA
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200225T143000
DTEND;TZID=America/New_York:20200225T170000
DTSTAMP:20260408T030609
CREATED:20200127T184902Z
LAST-MODIFIED:20200127T184902Z
UID:10006390-1582641000-1582650000@seasevents.nmsdev7.com
SUMMARY:Memorial Event:  Dean Joseph Bordogna
DESCRIPTION:Please join us on Tuesday\, February 25\, as we celebrate the life and legacy of Dr. Joseph Bordogna\, Professor Emeritus of Electrical and Systems Engineering and former Dean of Penn Engineering. \nDr. Bordogna was a student and a colleague in our school\, and a beloved and visionary dean. He provided the foundational leadership for the world-renowned M&T program\, was a champion of K-12 education\, and a founder of PRIME (Philadelphia Regional Introduction for Minorities to Engineering). He was an officer on the USS New Jersey\, which is anchored here in Philadelphia. He served as the deputy director and Chief Operating Officer of the National Science Foundation from 1999-2005. Most importantly\, he was a true friend\, colleague and mentor to so many. \nA memorial celebration will be held in the Glandt Forum at the Singh Center for Nanotechnology\, followed by a reception in the Lubin Galleria. We hope you can attend. \n 
URL:https://seasevents.nmsdev7.com/event/memorial-event-dean-joseph-bordogna/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200226T090000
DTEND;TZID=America/New_York:20200226T220000
DTSTAMP:20260408T030609
CREATED:20200225T213737Z
LAST-MODIFIED:20200225T213737Z
UID:10006420-1582707600-1582754400@seasevents.nmsdev7.com
SUMMARY:“Engineering at NSF:  Big Ideas and More”
DESCRIPTION:Three years ago\, NSF announced Ten Big Ideas for Future Investments.  From Harnessing the Data Revolution\, to defining the Future of Work at the Human-Technology Frontier\, and Understanding the Rules of Life\, all of the Big Ideas require cross-disciplinary\, convergent research to make significant progress on these important societal challenges.  The talk will present an overview of these ideas and describe some of the funding opportunities.  There will also be a summary of the activities of the Engineering Directorate\, highlights of new cross-cutting programs at NSF\, and time for Q&A.
URL:https://seasevents.nmsdev7.com/event/engineering-at-nsf-big-ideas-and-more/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200226T150000
DTEND;TZID=America/New_York:20200226T160000
DTSTAMP:20260408T030609
CREATED:20191219T204400Z
LAST-MODIFIED:20191219T204400Z
UID:10006354-1582729200-1582732800@seasevents.nmsdev7.com
SUMMARY:CBE Faculty Candidate Seminar: "Understanding and Design of Materials of High Energy Density Batteries"
DESCRIPTION:Abstract: \nEnvironmental challenges and economic forces are reshaping the way we generate and consume energy on a global scale. To keep up with the accelerating adoption of electric vehicles\, allow for grid scale energy storage\, and meet the demands of future technological advances\, new materials for high energy density batteries must be developed. High costs have prevented widespread deployment of lithium-ion batteries beyond portable electronics\, and the safety hazards of exothermic reactions associated with traditional materials during cell failure remain to be fully addressed. Therefore\, strategies to enhance the mechanical and chemical stability of next-generation electrode materials are key to the successful integration of batteries into our future energy systems. In this presentation\, I will discuss new materials designed to address issues of stability in Li-ion batteries and fundamental insight into the mechanisms of this stabilization. The first portion of my talk will describe how a supramolecular\, hydrogen-bonding\, self-healing polymer is used to stabilize high capacity anode materials. Next\, I will describe further investigation toward a general understanding of how polymer coatings affect the electrodeposition of metallic lithium anodes. Third\, I will discuss the use of in situ characterization techniques to study the mechanisms of electrolyte decomposition reactions at the lithium metal interface. Overall\, the work presented here contributes new materials to be used in electric vehicles\, grid scale storage\, and new electronic devices\, and uses these materials to develop a fundamental understanding about how materials properties affect the stability of lithium ion batteries in each application. This understanding provides direction for the design and synthesis of new polymer materials to better stabilize advanced battery chemistries.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-understanding-and-design-of-materials-of-high-energy-density-batteries/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T104500
DTEND;TZID=America/New_York:20200227T114500
DTSTAMP:20260408T030609
CREATED:20200214T204654Z
LAST-MODIFIED:20200214T204654Z
UID:10006410-1582800300-1582803900@seasevents.nmsdev7.com
SUMMARY:MSE Faculty Candidate Seminar: “Computational Materials Design from  Synthesis to Functionality”
DESCRIPTION:The concept of computational materials design envisions the identification of new synthetically-accessible structures with desirable properties and the optimization of known systems using first-principles calculations. While significant steps towards realizing this vision have been made\, notably in atomistic property evaluation\, the computational prediction of materials synthesis and realistic structure remains a challenge. Dr. Kitchaev will describe my work towards resolving these obstacles using three examples where models constructed from first-principles data yield quantitative synthesis predictions\, describe the structure of the resulting materials\, and reveal design criteria for optimizing materials behavior. He will first show that the synthesis routes used to obtain the diverse array of crystal structures observed in the manganese oxides can be quantitatively described with a quasi-equilibrium view of crystallization which takes into account the effects of off-stoichiometry\, finite-size effects and hydration. He will then apply a similar synthesis model to the design and optimization of disordered rocksalt oxyfluoride Li-ion battery cathode materials where electrochemical behavior is strongly coupled to chemical short range order. Finally\, he will describe the computational design of materials capable of hosting magnetic skyrmion phases\, which are nanoscale magnetic textures with nontrivial topology\, focusing on ensuring that these phases are thermally robust and tunable as is necessary for spintronic device applications. In all three cases\, experimental tests validate the predictive power of the computational analysis. While numerous open questions remain to be resolved before generally predictive synthesis-aware materials design is possible\, these initial results demonstrate the transformative potential of these tools to the development of new functional materials.
URL:https://seasevents.nmsdev7.com/event/mse-faculty-candidate-seminar-computational-materials-design-from-synthesis-to-functionality/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T110000
DTEND;TZID=America/New_York:20200227T120000
DTSTAMP:20260408T030609
CREATED:20200213T150450Z
LAST-MODIFIED:20200213T150450Z
UID:10006408-1582801200-1582804800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Engineering Quantum Processors in Silicon"
DESCRIPTION:Abstract\nAcross the globe\, physicists in academia and industry alike are competing to be the first to build a scalable universal quantum computer. Amongst the multitudes of quantum computing architectures\, solid-state quantum processors based on spins in silicon are emerging as a strong contender. Silicon is an ideal material to host spin qubits: it supports long coherence times [1]\, has excellent prospects for scaling\, and is ubiquitous in the semiconductor industry. While semiconductor spin qubits were proposed over two decades ago [2]\, it is only within the past few years that we have learned how to fabricate and control multi-qubit devices in silicon. \nIn this seminar\, I will describe our state-of-the-art four-qubit Si/SiGe quantum dot device [3] and explain how we have overcome major barriers to realizing large-scale quantum computing in silicon. First\, I will discuss charge control and spin-state readout in the device. Then\, I will describe the use of an on-chip micromagnet to mediate electrically driven spin resonance [4-5]. Using this technique\, we achieve site-selective spin control with fidelities exceeding 99.9%. I will outline the operation of our three primitive two-qubit gates: the decoupled-CZ gate [4]\, the resonant CNOT gate [5]\, and the resonant SWAP gate [6]. Finally\, I will discuss how these advances enable the development of large-scale quantum processors capable of complex quantum information processing. \nReferences:\n[1] Tyryshkin et al.\, Nature Mat. 11\, 143 (2011)\n[2] Loss and Divincenzo\, Phys. Rev. A 57\, 120 (1998)\n[3] Sigillito et al.\, Phys. Rev. Applied 11\, 061006 (2019)\n[4] Watson et al.\, Nature 555\, 633 (2018)\n[5] Zajac\, Sigillito\, et al.\, Science 359\, 439 (2018)\n[6] Sigillito et al.\, npj Quantum Information 5\, 110 (2019)
URL:https://seasevents.nmsdev7.com/event/ese-seminar-engineering-quantum-processors-in-silicon/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T120000
DTEND;TZID=America/New_York:20200227T130000
DTSTAMP:20260408T030609
CREATED:20200109T163541Z
LAST-MODIFIED:20200109T163541Z
UID:10006366-1582804800-1582808400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Musculoskeletal Tissue Engineering"
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/be-seminar-title-tbc-2/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200227T150000
DTEND;TZID=America/New_York:20200227T160000
DTSTAMP:20260408T030609
CREATED:20200219T192722Z
LAST-MODIFIED:20200219T192722Z
UID:10006411-1582815600-1582819200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Risk-Aware Machine Learning at Scale"
DESCRIPTION:Abstract: \n\nIn recent years\, machine learning has seen rapid advances with increasingly large scale and complex data modalities\, including processing images\, natural language and more. As a result\, applications of machine learning have pervaded our lives to make them easier and more convenient. Buoyed by this success\, we are approaching an era where machine learning will be used to autonomously make increasingly risky decisions that impact the physical world and risk life\, limb\, and property. For example\, machine learning may autonomously decide when cars should brake or swerve\, how power should be allocated in smart grids\, what treatments to recommend in some medical settings and much more. \nIn this talk\, I will discuss how we can begin to understand and mitigate this risk. In particular\, I will focus on how we can combine lessons learned from the unprecedented practical success of deep learning with approaches from statistical and probabilistic machine learning to make risk aware decisions in practice and at scale. I will show how one popular probabilistic method\, Gaussian process regression\, can be made to scale without approximation to millions of training examples for complex tasks despite traditionally being limited to thousands. Finally. I will discuss a number of examples where these tools are deployed successfully in practice\, and conclude with a discussion of the most important problems and limitations I believe we have yet to face in this area.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-risk-aware-machine-learning-at-scale/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200228T140000
DTEND;TZID=America/New_York:20200228T150000
DTSTAMP:20260408T030609
CREATED:20191216T200711Z
LAST-MODIFIED:20191216T200711Z
UID:10006348-1582898400-1582902000@seasevents.nmsdev7.com
SUMMARY:PICS Seminar - Dr. Cesar de la Fuente of the University of Pennsylvania\, Perelman School of Medicine
DESCRIPTION:Abstract: \nUntil now\, the natural world has supplied us with antibiotics. Bacteria\, however\, are increasingly resistant to these drugs. The next generation of antibiotics will likely come not from nature but from computer-based discovery. Working at the forefront of this development\, I seek to harness computational power to find molecules with antibacterial activity. I use synthetic biology and computational tools to determine features contributing to this activity and train computers to find— or design— candidate molecules and tweak their structures virtually. Experimentation is reserved for validating computer predictions\, saving time\, labor\, and expense. With machine-based molecular discovery\, I explore proteins and peptides as engineering scaffolds. My approaches diversify proteins\, such as host defense peptides (HDPs)\, beyond their natural variation. For example\, to increase their antimicrobial properties\, we trained a computer to execute a fitness function that selects for structures that interact with bacterial membranes\, thereby converting several HDPs into the first artificial antimicrobials that kill bacteria both in vitro and in animals. By investigating these exciting possibilities\, I aim to build machine-made antibiotics to combat infectious diseases and develop clinical applications for autonomously generated synthetic molecules. Computer-made drugs may help to replenish our arsenal of effective drugs and outpace the evolution of antibiotic resistance.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-with-dr-cesar-de-la-fuente-of-the-university-of-pennsylvania-perelman-school-of-medicine/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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