Boosting thermoelectric performance of HfSe2 monolayer by selectivity chemical adsorption.

In this work, a strategy to boosting thermoelectric (TE) performance of 2D materials is explored. We find that, appropriate chemical adsorption of atoms can effectively increase the TE performance of HfSe2 monolayer. Our results show that the adsorption of Ni atom on HfSe2 monolayer (Ni-HfSe2) can improve the optimal power factor PF and ZT at 300 K, increased by more than ∼67% and ∼340%, respectively. The PF and ZT of Ni-HfSe2 at 300 K can reach 85.06 mW m-1 K-2 and 3.09, respectively. The detailed study reveal that the adsorption of Ni atom can induce additional conductional channels of electrons, enhance the coupling of acoustic-optical phonons and the phonon anharmonicity, resulting in an obvious increment of electrical conductivity (increased by more than ∼89%) in n-type doped system and an ultralow phonon thermal conductivity (1.17 W/mK at 300 K). The high electrical conductivity and ultralow phonon thermal conductivity results in the significant increments of PF and ZT. Our study also shows that, Ni-HfSe2 is a thermal, dynamic and mechanical stable structure, which can be employed in TE application. Our research indicates that selectivity chemical adsorption is a promising way to increase TE performance of 2D materials.

Strain Tunable Thermoelectric Material: Janus ZrSSe Monolayer.

Thermoelectric (TE) performance of the Janus ZrSSe monolayer under biaxial strain is systematically explored by the first-principles approach and Boltzmann transport theory. Our results show that the Janus ZrSSe monolayer has excellent chemical, dynamical, thermal, and mechanical stabilities, which provide a reliable platform for strain tuning. The electronic structure and TE transport parameters of the Janus ZrSSe monolayer can be obviously tuned by biaxial strain. Under 2% tensile strain, the optimal power factor PF of the n-type-doped Janus ZrSSe monolayer reaches 46.36 m W m-1 K-2 at 300 K. This value is higher than that of the most classical TE materials. Under 6% tensile strain, the maximum ZT values for the p-type- and n-type-doped Janus ZrSSe monolayers are 4.41 and 4.88, respectively, which are about 3.83 and 1.49 times the results of no strain, respectively. Such high TE performance can be attributed to high band degeneracy and short phonon relaxation time under strain, causing simultaneous increase of the Seebeck coefficient and suppression of the phonon thermal transport. Present work demonstrates that the Janus ZrSSe monolayer is a promising candidate as a strain-tunable TE material and stimulates further experimental synthesis.

Climate network stability measures of El Niño variability.

One of the crucial aspects that is currently limiting the success of El Niño predictions is the stability of the slowly varying Pacific climate state. This property determines whether or not sea surface temperature perturbations will be amplified by coupled ocean-atmosphere feedbacks. The so-called Bjerknes stability index has been developed for this purpose, but its evaluation is severely constrained by data availability. Here, we present new network based measures of the stability of the Pacific climate state. These measures can be evaluated by using only sea surface temperature data and efficiently indicate whether positive feedbacks of perturbations to the climate state will occur.

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package.

We introduce the pyunicorn (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. pyunicorn is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics, or network surrogates. Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification analysis, recurrence networks, visibility graphs, and construction of surrogate time series. The range of possible applications of the library is outlined, drawing on several examples mainly from the field of climatology.

[Study on weightlessness dynamics simulated by neutral buoyancy in air-driven shell].

OBJECTIVE: To provide theoretical support for weightlessness experiment simulated by neutral buoyancy. METHOD: An air-driven shell structure was simplified into a rigid body with constant mass and variable volume. Then, rigid body dynamic model and gasdynamic model of air-driven spherical shell were established. Finally, the kinematical laws and the residual pressure variety laws of air-driven spherical shell were obtained under constant mass-flux condition by computer simulation. RESULT: Under constant mass-flux condition, neutral buoyancy balance of air-driven spherical shell was unstable. CONCLUSION: The key to achieve stable neutral buoyancy balance is the design of the system controller.

[Application of sensitivity analysis method in mode analysis of hypergravitation training facility].

OBJECTIVE: To increase the natural frequencies of hypergravitation training facility. METHOD: The natural frequencies of the hypergravitation training facility were modified by using sensitivity analysis method. RESULT: The natural frequencies of the hypergravitation training facility were improved by modification of physical and geometrical parameters of sensitive elements. CONCLUSION: The computational results indicates that sensitivity analysis method is feasible.