scholarly journals Finite Ligand Size and Sternheimer Antiscreening in Lanthanide Ions

1978 ◽  
Vol 31 (5) ◽  
pp. 421 ◽  
Author(s):  
S Ahmad ◽  
DJ Newman
Keyword(s):  
Simple Model ◽  
Point Charge ◽  
Significant Contribution ◽  
Lanthanide Ions ◽  
Lanthanide Ion ◽  
Model Based ◽  
Charge Interaction ◽  
Nuclear Quadrupole

A finite ligand affects the quadrupole potential at the nucleus of a lanthanide ion in two ways: it produces a positive exchange charge in the region of overlap and it reduces the antiscreening of the point-charge interaction due to charge penetration. We estimate the magnitude of the exchange charge contribution in the system Pr3 + - Cl- using a simple model based on calculating the change in the antiscreening of a point charge as it moves towards the lanthanide ion. A significant contribution is produced, which is not sensitive to the position of the exchange charge, showing that the conventional antiscreening factor )' '" cannot properly represent� the effect of anti screening on the ligand contributions to the nuclear quadrupole potential.

19F Nuclear Quadrupole Coupling in some Halomethanes

1986 ◽  
Vol 41 (1-2) ◽  
pp. 171-174 ◽  
Author(s):  
M. Frank ◽  
F. Gubitz ◽  
W. Ittner ◽  
W. Kreische ◽  
A. Labahn ◽  
...  
Keyword(s):  
Angular Distribution ◽  
Simple Model ◽  
Temperature Dependence ◽  
Coupling Constants ◽  
Temperature Dependent ◽  
Distribution Method ◽  
Quadrupole Coupling ◽  
Time Differential ◽  
Nuclear Quadrupole

The 19F quadrupole coupling constants in CF4, CHF3, CClF3 and CHClF2 are reported. The measurements were carried out temperature dependent using the time differential perturbed angular distribution method (TDPAD). The temperature dependence can be satisfactorily described in the framework of the Bayer-Kushida theory. A simple model is used to explain the appearance of H-F and Cl-F coupling constants in CHF3/CHClF2 and CClF3, respectively.

A numerical and experimental study of a simple model-based predictive control strategy in a perimeter zone with phase change material

2018 ◽  
Vol 24 (9) ◽  
pp. 933-944 ◽  
Author(s):  
Anastasios C. Papachristou ◽  
Charalampos A. Vallianos ◽  
Vasken Dermardiros ◽  
Andreas K. Athienitis ◽  
JosÉ A. Candanedo
Keyword(s):  
Experimental Study ◽  
Simple Model ◽  
Phase Change ◽  
Phase Change Material ◽  
Predictive Control ◽  
Control Strategy ◽  
Model Based ◽  
Change Material

scholarly journals Learning to Coordinate Efficiently: A Model-based Approach

2003 ◽  
Vol 19 ◽  
pp. 11-23 ◽  
Author(s):  
R. I. Brafman ◽  
M. Tennenholtz
Keyword(s):  
Reinforcement Learning ◽  
Simple Model ◽  
Stochastic Games ◽  
Convergence Rates ◽  
Learning Algorithms ◽  
Common Interest ◽  
Model Based ◽  
Optimal Value ◽  
To Receive

In common-interest stochastic games all players receive an identical payoff. Players participating in such games must learn to coordinate with each other in order to receive the highest-possible value. A number of reinforcement learning algorithms have been proposed for this problem, and some have been shown to converge to good solutions in the limit. In this paper we show that using very simple model-based algorithms, much better (i.e., polynomial) convergence rates can be attained. Moreover, our model-based algorithms are guaranteed to converge to the optimal value, unlike many of the existing algorithms.

scholarly journals The Effect of a Close Binary Companion on a Nova Outburst

1979 ◽  
Vol 53 ◽  
pp. 531-531
Author(s):  
Jim MacDonald
Keyword(s):  
Simple Model ◽  
White Dwarf ◽  
Energy Generation ◽  
Close Binary ◽  
Additional Energy ◽  
Model Based ◽  
Hydrodynamic Calculations ◽  
Cno Abundances ◽  
Nova Outburst

We compare two hydrodynamic calculations of thermonuclear runaways in material accreted by a 1M⊙ white dwarf of initial luminosity 10−3L⊙. In both cases the CNO abundances are taken to be near solar (ZCNO = 0.014). The only difference between the calculations is that in one sequence of models (seq.B) the additional energy generation due to the interaction between the expanding nova envelope and a close red dwarf companion is allowed for, using a simple model based on that of Paczynski (1976).

The programmable CPG model based on Matsuoka oscillator and its application to robot locomotion

2020 ◽  
Vol 11 (03) ◽  
pp. 2050018
Author(s):  
Qiang Lu ◽  
Zhaochen Zhang ◽  
Chao Yue
Keyword(s):  
Significant Contribution ◽  
Central Pattern Generators ◽  
Robot Locomotion ◽  
Model Based ◽  
Chaotic Signals ◽  
Periodic Input ◽  
Periodic Signals ◽  
Pattern Generators ◽  
Sine Signal ◽  
Control Locomotion

The central pattern generator (CPG) is an important functional unit in the spinal cord which can produce rhythmic signals to control locomotion. Recently, there has been a growing interest in programmable central pattern generators (PCPG). In this paper, a new PCPG oscillator and a generic PCPG model based on the Matsuoka oscillator are presented. The perturbation method is used to determine the convergence of the generic PCPG model. The sine signal, the mix signal and chaotic signals are provided as inputs to the model, and the simulation results show that the generic PCPG can learn arbitrary periodic signals. In this paper, the generic PCPGs are allocated at each joint of the compass-like and the three-link robots and their outputs are chosen as joint position commands. The simulations show that the generic PCPG can be used to control robot locomotion effectively. The contributions of this paper are as follows: (1) A new PCPG oscillator based on the Matsuoka oscillator is presented as a beneficial enhancement to the PCPG oscillators. (2) A generic PCPG model is built comprising three PCPG oscillators. It can learn any periodic input signal. These findings are a significant contribution to generic PCPG research.

The dynamics of language

1999 ◽  
Vol 22 (2) ◽  
pp. 284-285
Author(s):  
Peter W. Culicover ◽  
Andrzej Nowak
Keyword(s):  
Phase Space ◽  
Dynamical Systems ◽  
Simple Model ◽  
Syntactic Structure ◽  
Neural Assemblies ◽  
Systems Perspective ◽  
Model Based ◽  
Associative Structures

To deal with syntactic structure, one needs to go beyond a simple model based on associative structures, and to adopt a dynamical systems perspective, where each phrase and sentence of a language is represented as a trajectory in a syntactic phase space. Neural assemblies could possibly be used to produce dynamics that in principle could handle syntax along these lines.

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