We report six-dimensional quantum dynamical calculations of dissociative adsorption and associative desorption of the system H2/Pd(100) using an ab initio potential energy surface. We focus on rotational effects in the steering mechanism, which is responsible for the initial decrease of the sticking probability with kinetic energy. In addition, steric effects are briefly discussed. Typeset usin...

We consider a model of a neural network where the individual cells interact only by releasing and absorbing the molecules of a neuromediator. We show that such a system can realize the function of associative memory. A learning mechanism based on the chemotaxis is proposed and numerically investigated.

We introduce a biologically motivated dynamical principle of sequential memory which is based on winnerless competition (WLC) of event images. This mechanism is implemented in a two-layer neural model of sequential spatial memory. We present the learning dynamics which leads to the formation of a WLC network. After learning, the system is capable of associative retrieval of prerecorded sequence...

Autoassociations of spatio-temporal sequences have been discussed by a number of authors. We propose a mechanism for storing and retrieving pairs of spatio-temporal sequences with the network architecture of the standard bidirectional associative memory (BAM), thereby achieving hetero-associations of spatio-temporal sequences.

We introduce a new biologically-motivated model of sequential spatial memory which is based on the principle of winnerless competition (WLC). We implement this mechanism in a two-layer neural network structure and present the learning dynamics which leads to the formation of a WLC network. After learning, the system is capable of associative retrieval of pre-recorded sequences of spatial patterns.

Ligand substitution reactions are ubiquitous in transition-metal chemistry and catalysis. Investigation of ligand substitution reactions for a series of electron-rich palladium(0)-olefin complexes, (bathocuproine)Pd(nitrostyrene) reveals an unprecedented mechanism in which the metal serves as the nucleophilic partner in an "associative" substitution pathway.

Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...

Dispersion-corrected periodic DFT calculations have been applied to elucidate the Langmuir−Hinshelwood (dissociative) and an Eley− Rideal/Mars−van Krevelen (associative) mechanism for ammonia synthesis over Co3Mo3N surfaces, in the presence of surface defects. Comparison of the two distinct mechanisms clearly suggests that apart from the conventional dissociative mechanism, there is another mec...

The aim of the article is to analyze symbolism clouds in idiostyle Sergey Yesenin. object analysis “atmospheric phenomena” within semantic field “nature”. focus research specificity linguistic image poet’s world. methods and description are used. material for fragments poetic texts by An attempt made describe mechanism creating a symbolic sense, which also metaphorical sense based on associativ...

Recent imaging studies suggest that object knowledge is stored in the brain as a distributed network of many cortical areas. Motivated by these observations, we study a multimodular associative memory network, whose functional goal is to store patterns with different coding levels--patterns that vary in the number of modules in which they are encoded. We show that in order to accomplish this ta...