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APR
8
Wednesday
CSI Q Seminar
"CANCELLED Quantum-driven classical optimization"
Presented by Helmut Katzgraber, Microsoft Research
1:30 pm, Training Room, Bldg 725
Wednesday, April 8, 2020, 1:30 pm
Hosted by: Layla Hormozi
The advent of the first useful quantum computing devices has resulted in an arms race with classical algorithms on traditional computing hardware. While near-term quantum devices might revolutionize, e.g., optimization and quantum chemistry, tackling many applications will directly depend on either hybrid or purely classical computing techniques. Inspired by these recent exciting developments, a variety of new classical algorithms have emerged. In this talk an overview on quantum inspired methods and their applications is given.
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APR
9
Thursday
Particle Physics Seminar
"Maximizing the potential of neutrino experiments"
Presented by Philip Rodrigues, University of Oxford
3 pm, Webcast
Thursday, April 9, 2020, 3:00 pm
Hosted by: Hanyu Wei
Present and future neutrino experiments will search for CP violation in the lepton sector, detect neutrinos from a galactic supernova, and search for evidence of sterile neutrinos. I will discuss two strands of work aimed at maximizing the success of these experiments: on DUNE, developing the far detector trigger system is vital to achieving the physics goals of the experiment; while on the SBN project, neutrino cross section uncertainties are a major systematic in the sterile neutrino oscillation analysis.
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APR
23
Thursday
CFN Colloquium
"CANCELED - Using Machine-Learning to Enable Autonomous X-ray Scattering"
Presented by Kevin Yager, Brookhaven National Laboratory, Center for Functional Nanomaterials
4 pm, CFN, Bldg 735, Seminar Room, 2nd Floor
Thursday, April 23, 2020, 4:00 pm
Hosted by: Deyu Lu
Autonomous experimentation holds the promise of revolutionizing scientific studies and accelerating materials discovery, through instruments that can explore scientific problems without human intervention. This talk will introduce basic machine-learning concepts, and describe our ongoing development of autonomous experimentation at a synchrotron x-ray scattering beamline. Deep learning (convolutional neural networks) are used to classify x-ray detector images, with performance improving when "physics awareness" is included. To close the autonomous loop, we deploy a general-purpose algorithm that selects high-value experiments to conduct, attempting to minimize both uncertainty and experimental cost. Examples from recent autonomous experiments will be presented, including measuring nanoparticle ordering, combinatorial libraries of block copolymer materials, and real-time photo-thermal processing.
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APR
30
Thursday
BERA - Free Gym Membership Orientation 2020
"Orientation with Certified Personal Trainer"
Claire Ondrovic
5 pm, Gym/Weight Room, Bldg. 461
Thursday, April 30, 2020, 5:00 pm
Hosted by: Christine Carter
Free Orientation 5-7pm on the following dates: Monday: 1/13, 2/10, 3/9, 4/20, 5/11, 6/15 Thursday: 1/23, 2/13, 3/19, 4/30, 5/21, 6/18
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MAY
12
Tuesday
Center for Functional Nanomaterials Seminar
"Two Talks: System for the Research and Development at UNI: Nanosciences & Solar water purification at rural areas: From the lab to pilot applications"
Presented by Dr. Juan M. Rodriguez & Dr. Walter F. Estrada, Universidad Nacional de Ingenieiría, Peru
10 am, CFN, Bldg 735, Room A 1st Floor
Tuesday, May 12, 2020, 10:00 am
Hosted by: Fernando Camino
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MAY
12
Tuesday
Nuclear Physics Seminar
"Unitarity in meson spectroscopy: implications for experiment, lattice, and models"
Presented by George Rupp, Instituto Superior Técnico
11 am, Small Seminar Room, Bldg. 510
Tuesday, May 12, 2020, 11:00 am
Hosted by: Jin Huang
The most fundamental cornerstone of the PDG tables is the uniqueness of S-matrix pole positions of unstable particles, as a consequence of quantum-field-theory principles. Therefore, the unitarity property of the S-matrix should ideally be respected in whatever description of meson resonances in experiment, lattice-QCD simulations, and quark models. However, mesons are still often analyzed using non-unitary Breit-Wigner parametrizations and treated as manifest bound states on the lattice or in models. In the present talk I shall demonstrate the huge discrepancies that may result from such naive approaches, with potentially dramatic consequences for meson spectroscopy and the inferred confining potential.
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OCT
1
Thursday
Environmental & Climate Sciences Department Seminar
"Thermal acclimation of photosynthesis: patterns and diversity of plant responses to warming"
Presented by Danielle Way, Western University, Canada
2:30 pm, Large Conference Room, Bldg. 490
Thursday, October 1, 2020, 2:30 pm
Hosted by: Alistair Rogers
Climate change will increase global temperatures 3-4 ?C by 2100. This warming will affect photosynthesis, a temperature-sensitive process that helps dictate plant growth. Warming-induced shifts in photosynthesis also affect the global carbon cycle, mitigating or accelerating further climate change. Understanding how photosynthesis acclimates to future temperatures is therefore critical for accurately predicting the trajectory of future climate change, as well as for estimating plant productivity in a warmer world. I'll discuss how elevated growth temperatures impact photosynthesis, using meta-analyses, modeling and results from my lab, highlighting both what we know and the key questions that remain to be answered.
