A combined top-down and bottom-up approach was used for precise placement of metal nanoparticles on silicon substrates. The study used laser interference lithography (LIL) technique, to open windows on a silicon wafer...
详细信息
A combined top-down and bottom-up approach was used for precise placement of metal nanoparticles on silicon substrates. The study used laser interference lithography (LIL) technique, to open windows on a silicon wafer with a silicon oxide mask. Inverted pyramids were obtained at the window region, by etching the silicon wafer in KOH under the top-down approach. The bottom-up approach involved the evaporation of a gold (Au) layer on the whole silicon wafer and annealing at elevated temperature. The Au inside the inverted pyramids was coarsened and formed Au dots inside them. The results show that the diameter of the metal nanoparticles can be tuned more effectively, by changing the Au layer thickness, along with the annealing temperature.
This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architectures in approximate dynamic programming p...
详细信息
ISBN:
(纸本)9781424431236
This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architectures in approximate dynamic programming problems, explains some difficulties encountered by these architectures, and argues that SVR-based architectures can avoid some of these difficulties. A key contribution of this paper is to present an extension of the SVR problem to carry out approximate policy iteration by forcing the Bellman error to zero at selected states. The algorithm does not require trajectory simulations to be performed and is able to utilize a rich set of basis functions in a computationally efficient way. Computational results for an example problem are shown.
The interference between repeated Landau-Zener transitions in a qubit swept through an avoided level crossing results in Stückelberg oscillations in qubit magnetization, a hallmark of the coherent strongly driven...
详细信息
The interference between repeated Landau-Zener transitions in a qubit swept through an avoided level crossing results in Stückelberg oscillations in qubit magnetization, a hallmark of the coherent strongly driven regime in two-level systems. The two-dimensional Fourier transforms of the resulting oscillatory patterns are found to exhibit a family of one-dimensional curves in Fourier space, in agreement with recent observations in a superconducting qubit. We interpret these images in terms of time evolution of the quantum phase of the qubit state and show that they can be used to probe dephasing mechanisms.
Aligned Si/SiGe nanowire heterostructures have been formed using Au-assisted top-down chemical etching method combined with nanosphere lithography. Since the nanowires are formed from the as-grown films, the heterostr...
Aligned Si/SiGe nanowire heterostructures have been formed using Au-assisted top-down chemical etching method combined with nanosphere lithography. Since the nanowires are formed from the as-grown films, the heterostructures along the axial axis of the formed nanowires, i.e. axial heterostructures, are replica of the grown layered film structure. Thus SiGe nanowire heterostructures can be readily formed along the axis using an as-grown heterostructured film. By applying a nanosphere lithography technique, the space, diameter, and density of the nanowires can be controlled and readily formed at specifically defined area. Because of the flexibility and simplicity of this method, nanowires with embedded junctions of different doping characteristics and Si/Ge concentrations can be fabricated easily. Si and its Ge alloy nanowires and one dimensional heterostructures formed using this method may have great potential for vertical logic, photovoltaic and memory device applications.
Searches for extrasolar planets using the periodic Doppler shift of stellar spectral lines have recently achieved a precision better than 60cm/s. To find a 1-Earth mass planet in an Earth-like orbit, a precision of 5c...
Searches for extrasolar planets using the periodic Doppler shift of stellar spectral lines have recently achieved a precision better than 60cm/s. To find a 1-Earth mass planet in an Earth-like orbit, a precision of 5cm/s is necessary. The combination of a laser frequency comb with a Fabry-Perot filtering cavity has been suggested as a promising approach to achieve such Doppler shift resolution via improved spectrograph wavelength calibration. Here we report the fabrication of such a filtered laser comb with up to 40 GHz (~1 Angstrom) line spacing, generated from a 1 GHz repetition-rate source, without compromising long-term stability, reproducibility or spectral resolution. This wide-line-spacing comb (astro-comb) is well matched to the resolving power of high-resolution astrophysical spectrographs. The astrocomb should allow a precision as high as 1cm/s in astronomical readial velocity measurements.
The computational role of the local recurrent network in primary visual cortex is still a matter of debate. To address this issue, we analyze intracellular recording data of cat V1, which combine measuring the tuning ...
ISBN:
(纸本)9781605609492
The computational role of the local recurrent network in primary visual cortex is still a matter of debate. To address this issue, we analyze intracellular recording data of cat V1, which combine measuring the tuning of a range of neuronal properties with a precise localization of the recording sites in the orientation preference map. For the analysis, we consider a network model of Hodgkin-Huxley type neurons arranged according to a biologically plausible two-dimensional topographic orientation preference map. We then systematically vary the strength of the recurrent excitation and inhibition relative to the strength of the afferent input. Each parametrization gives rise to a different model instance for which the tuning of model neurons at different locations of the orientation map is compared to the experimentally measured orientation tuning of membrane potential, spike output, excitatory, and inhibitory conductances. A quantitative analysis shows that the data provides strong evidence for a network model in which the afferent input is dominated by strong, balanced contributions of recurrent excitation and inhibition. This recurrent regime is close to a regime of "instability", where strong, self-sustained activity of the network occurs. The firing rate of neurons in the best-fitting network is particularly sensitive to small modulations of model parameters, which could be one of the functional benefits of a network operating in this particular regime.
In this paper , we summarize several research directions involving message-passing algorithms and distributed fusion. The starting point is inference for graphical models , but the different constraints and objectives...
详细信息
ISBN:
(纸本)9781605600864
In this paper , we summarize several research directions involving message-passing algorithms and distributed fusion. The starting point is inference for graphical models , but the different constraints and objectives found in sensor networks suggest new questions. In addition to providing pointers to a variety of other parts of our research in this area , we spend most of our time on two research investigations. The irst involves team-theoretic approaches to distributed decision-making and the development of message-passing algorithms for sensor network organization in order to optimize distributed team objectives. The second deals with the exploitation of so-called walk-sum analysis for distributed linear estimation. In particular under an easily checked condition for walk-summability , we can show that essentially any messaging strategy converges to the optimal distributed solution;moreover with modest use of local memory , this remains true in the presence of random message losses. We also describe how this framework leads to a tractable max-spanning tree problem for optimal adaptive message routing-i.e. , for determining a spanning tree for the next wave of messages to reduce an upper bound on estimation error as quickly as possible.
Controlled fusion between an embryonic stem cell and a somatic cell is an important strategy for cellular reprogramming. We have developed a microfluidic system specifically to address the main limitation of current f...
详细信息
暂无评论