Atomic Interactions and the Stability of Surface Clusters

1998 ◽  
Vol 528 ◽  
Author(s):  
Seong Jin Koh ◽  
Gert Ehrlich
Keyword(s):  
Simple Model ◽  
Nearest Neighbor ◽  
Equilibrium Shape ◽  
Model System ◽  
Palladium Clusters ◽  
Atomic Interactions ◽  
Surface Yield ◽  
Simple Model System ◽  
The Stability ◽  
Field Ion Microscope

AbstractInteractions dictating the shape and stability of surface islands have been examined for a simple model system, palladium clusters on the W(110) plane. Observations in a field ion microscope of the distribution of two Pd adatoms over the surface yield quantitative values for pair interactions. These are found to be complex, extending over distances longer than 10 A and to vary strongly with the orientation of the pair axis on the (110) surface. Using the measured pair energies it has been possible to infer the magnitude of many-atom effects necessary to account for the equilibrium shape of the clusters. Many-atom interactions turn out to make by far the largest contribution to cluster cohesion; modeling of growth phenomena in terms of nearest-neighbor bonds only is clearly problematic.

scholarly journals A Simple Model System Enabling Human CD34+ Cells to Undertake Differentiation Towards T Cells

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69572 ◽  
Author(s):  
Antonio Lapenna ◽  
Christopher B-Lynch ◽  
Chrysa Kapeni ◽  
Richard Aspinall
Keyword(s):  
T Cells ◽  
Simple Model ◽  
Model System ◽  
Human Cd34 ◽  
Cd34 Cells ◽  
Simple Model System

scholarly journals Coupled Normal Heat and Matter Transport in a Simple Model System

2001 ◽  
Vol 86 (24) ◽  
pp. 5417-5420 ◽  
Author(s):  
C. Mejía-Monasterio ◽  
H. Larralde ◽  
F. Leyvraz
Keyword(s):  
Simple Model ◽  
Model System ◽  
Normal Heat ◽  
Matter Transport ◽  
Simple Model System

scholarly journals A simple model system to study coupled photonic crystal microcavities

2021 ◽  
Vol 89 (5) ◽  
pp. 538-545
Author(s):  
Alain Perrier ◽  
Yvan Guilloit ◽  
Élodie Le Cren ◽  
Yannick Dumeige
Keyword(s):  
Photonic Crystal ◽  
Simple Model ◽  
Model System ◽  
Simple Model System ◽  
Photonic Crystal Microcavities

Validation of an MRI-Based Method for Measuring the Deformation of the Brain During Angular Acceleration

2007 ◽  
Author(s):  
Arash A. Sabet ◽  
Eftyxios Christoforou ◽  
Benjamin Zatlin ◽  
Guy M. Genin ◽  
Philip V. Bayly
Keyword(s):  
Finite Element ◽  
Magnetic Resonance ◽  
Simple Model ◽  
Angular Acceleration ◽  
Model System ◽  
Strain Fields ◽  
Element Simulation ◽  
Simple Model System ◽  
The Brain ◽  
Gel Phantom

A magnetic resonance (MR) method for measuring the deformation of the brain during angular acceleration was validated in a simple model system. Experimentally-derived shear strain patterns in a cylindrical gel “phantom” under angular acceleration were compared to analogous strain fields predicted by finite element simulation.

Al(iii)-NTA-fluoride: a simple model system for Al–F binding with interesting thermodynamics

2020 ◽  
Vol 49 (39) ◽  
pp. 13726-13736
Author(s):  
Eliška Hacaperková ◽  
Adam Jaroš ◽  
Jan Kotek ◽  
Johannes Notni ◽  
Michal Straka ◽  
...  
Keyword(s):  
Simple Model ◽  
Coordination Sphere ◽  
Model System ◽  
Water Molecules ◽  
Phosphate Anion ◽  
High Ph ◽  
Fast Exchange ◽  
Simple Model System ◽  
Ph Dependent ◽  
High Phosphate

Unsaturated AlIII complex shows a fast exchange of water molecules, hydroxide and fluoride anions in the coordination sphere, highly pH-dependent fluoride binding and release of fluorides at high pH or at high phosphate anion concentrations.

Tadpole Swimming Network

2017 ◽  
pp. 545-552
Author(s):  
Keith T. Sillar ◽  
Wen-Chang Li
Keyword(s):  
Neural Network ◽  
Locomotor Activity ◽  
Simple Model ◽  
Motor Program ◽  
Model System ◽  
Detailed Knowledge ◽  
Sensory Adaptation ◽  
Simple Model System ◽  
Network Output ◽  
Network Operation

Xenopus laevis frog tadpoles near the time of hatching have proved to be an excellent model system in which to explore the neural mechanisms responsible for the initiation, maintenance, sensory adaptation, and termination of rhythmic locomotor activity in vertebrates. The underlying neural network is one of the most completely understood in any vertebrate. Detailed knowledge has accrued over the last 40 years, highlighting conserved operational features of vertebrate rhythm generators and serving as an invaluable platform from which to investigate associated issues of fundamental importance in neuroscience, such as motor program switching, transmitter corelease, network development, neuromodulation, and metamodulation of network operation. There are many advantages of this simple model system, including the presence of a well-defined network output that relates directly to the behavior of the animal under study (namely, swimming locomotion).

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