Global α\alpha-decay study based on the mass table of the relativistic continuum Hartree-Bogoliubov theory

The $\alpha$-decay energies ($Q_\alpha$) are systematically investigated with the nuclear masses for $10 \leq Z \leq 120$ isotopes obtained by the relativistic continuum Hartree-Bogoliubov (RCHB) theory with the covariant density functional PC-PK1, and compared with available experimental values. It is found that the $\alpha$-decay energies deduced from the RCHB results present similar pattern as those from available experiments. Owing to the large predicted $Q_\alpha$ values ($\geq$ 4 MeV), many undiscovered heavy nuclei in the proton-rich side and super-heavy nuclei may have large possibilities for $\alpha$-decay. The influence of nuclear shell structure on $\alpha$-decay energies is also analysed.Comment: 7 pages, 4 figures. arXiv admin note: text overlap with arXiv:1309.3987 by other author

A Real-Time Simulator of a Photovoltaic Module

In the development and performance test of maximum power point tracker and converter, it is hard to guarantee PV module output due to the solar insolation and temperature. In this poster, a real-time simulator of a PV module is developed with the following functions: -Calculate the solar position -Obtain real-time weather conditions through Yahoo! Weather -Detect and measure the external load -Generate electric outpu

Deep Potential: a general representation of a many-body potential energy surface

We present a simple, yet general, end-to-end deep neural network representation of the potential energy surface for atomic and molecular systems. This methodology, which we call Deep Potential, is "first-principle" based, in the sense that no ad hoc approximations or empirical fitting functions are required. The neural network structure naturally respects the underlying symmetries of the systems. When tested on a wide variety of examples, Deep Potential is able to reproduce the original model, whether empirical or quantum mechanics based, within chemical accuracy. The computational cost of this new model is not substantially larger than that of empirical force fields. In addition, the method has promising scalability properties. This brings us one step closer to being able to carry out molecular simulations with accuracy comparable to that of quantum mechanics models and computational cost comparable to that of empirical potentials

Digital Controller Design and Implementation on a Buck-Boost Converter for Photovoltaic Systems

Photovoltaic systems are widely used to convert solar energy to electricity. The output of the PV system is strongly affected by the weather. In order to maintain the stability of the power, rechargeable battery is necessary to store the electricity temporarily. The objective, in this poster, is to make the output voltage of PV (solar panel) constant to connect its rechargeable battery 12v DC. In details, MATLAB- Simulink is used to simulate the power stage (Buck- Boost converter) and closed loop of feedback controller. Also, the Arduino Uno is used to implement and test PID (proportional, integral, derivative) controller. Results from MATLAB simulation and experiments will be presented