Events Calendar View
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Mathematical Physics Seminar
Sep 18, 2013
Asymptotic expansions and Fourier series
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Departmental Colloquium
Sep 19, 2013
Ultrashort pulse propagation and ionization in dielectrics
The numerous applications of femtosecond lasers during the last 15 years has necessitated a detailed understanding of pulse propagation coupled with ultrafast laser-material interactions. Current ultrashort pulse propagation models describe the evolution of fields with broad spectra while models of laser-induced ionization and laser-plasma interactions typically assume monochromatic laser fields. In this seminar I address the inherent contradiction of combining multi- chromatic propagation models with monochromatic laser-material descriptions. Recently published experimental and simulation results are presented that show how this contradiction leads to order-of- magnitude errors in calculating the ionization yield. Further simulation results suggest that multi-chromatic effects will alter the shape and severity of laser-induced modifications to the bulk of dielectric solids.
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CSP Lunch Seminar
Sep 24, 2013
Modeling X-ray Emission with Accurate State-Selective Charge Exchange Cross Sections
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Mathematical Physics Seminar
Sep 25, 2013
Summation of Fourier series
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Departmental Colloquium
Sep 26, 2013
Lightwave Neuromorphic Signal Processing
In this talk, a new computational paradigm is presented using photonics to mimic the functionality of a spiking neuron. Spike processing is both computationally efficient and scalable, adopting the best features of both analog and digital computing. Whereas biological neurons implement spike processing using electrochemical spikes on a millisecond time scale, our “photonic neuron” performs spike processing using optoelectronic technology in picoseconds. Like it’s physiological counterpart, the photonic neuron consists of a reconfigurable FIR filter at it’s front end followed by integration and thresholding stages. A single photonic neuron circuit accomplishing feature recognition and imitating the escape response of a crayfish will be presented. One of the most powerful capabilities of neurons is their ability to learn and adapt to the environment based on experience. This is accomplished by adjusted the strength of synaptic connections based on correlations between pre-synaptic and post-synaptic activity. The first demonstration of learning using photonic technology will be presented, potentially laying the foundation for learning at speeds a billion times faster than biological neurons.
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CSP Lunch Seminar
Oct 1, 2013
Sticking of atomic hydrogen on amorphous water ice
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