Degree Department

4 Matching Results

Results open in a new window/tab.

Complexity matching in neural networks (open access)

Complexity matching in neural networks

This article adopts the complexity matching principle that the maximal efficiency of communication between two complex networks is realized when both of them are at criticality, and uses this principle to establish the value of the neuronal interaction strength at which criticality occurs.
Date: January 9, 2015
Creator: Mafahim, Javad Usefie; Lambert, David; Zare, Marzieh & Grigolini, Paolo
System: The UNT Digital Library
Excitation of the n=2 levels of hydrogen by proton impact for hydrogen beam diagnostics (open access)

Excitation of the n=2 levels of hydrogen by proton impact for hydrogen beam diagnostics

This article describes the atomic orbital close coupling results for excitation to the n=2 states to document the computational procedure adopted and to convey new insight into the behavior of these fundamental cross sections.
Date: January 15, 2015
Creator: Schultz, David R. & Ovchinnikov, S.Y.
System: The UNT Digital Library
State-selective charge transfer cross sections for light ion impact of atomic hydrogen (open access)

State-selective charge transfer cross sections for light ion impact of atomic hydrogen

This article compares results of approaches applicable in a lower impact energy regime by benchmarking them using key experimental data in order to make knowledge of these cross sections available across the range parameters needed by fusion plasma diagnostics.
Date: January 15, 2015
Creator: Schultz, David R.; Stancil, P.C. & Havener, C.C.
System: The UNT Digital Library
Reformulation of DFT + U as a Pseudohybrid Hubbard Density Funcitonal for Accelerated Materials Discovery (open access)

Reformulation of DFT + U as a Pseudohybrid Hubbard Density Funcitonal for Accelerated Materials Discovery

This article introduces ACBN0, a pseudohybrid Hubbard density functional that yields an improved prediction of the band structure of insulators such as transition-metal oxides, with only a negligible increase in computational cost.
Date: January 28, 2015
Creator: Agapito, Luis A.; Curtarolo, Stefano & Buongiorno Nardelli, Marco
System: The UNT Digital Library