Geometry optimization of small copper clusters: Monte Carlo simulations study.

Rıad M., Shaltaf


Geometry-based modeling of dispersion in core-shell particle media
Hatipoğlu, Emre; Koku, Harun; Department of Chemical Engineering (2017)
Dispersion is an important physical phenomenon that heavily influences performances of systems such as chromatographic separation processes. Mathematical modeling of this phenomenon is therefore widely investigated. This thesis study investigates dispersion of random-walking particles, or tracers, around core-shell particles, a type of recently commercialized spherical and porous stationary phase used in liquid chromatography that has a solid impermeable core that limits diffusion near the center and a poro...
Geometry knowledge test about triangles: evidence on validity and reliability
Ubuz, Behiye (2018-08-01)
In the present study we aimed to develop a multidimensional test assessing high school students' knowledge about triangles, and then to determine the validity evidence for it based on the internal structure and relations to another variable and its reliability. The test developed was administered to 557 tenth grade students. To assess the validity evidence based on the internal structure, the data were analyzed using confirmatory factor analysis, inter-dimension correlations and two-way MANOVA across gender...
Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution
Ferreira, Julio Cesar; Vural, Elif; Guillemot, Christine (Institute of Electrical and Electronics Engineers (IEEE), 2016-03-01)
Local learning of sparse image models has proved to be very effective to solve inverse problems in many computer vision applications. To learn such models, the data samples are often clustered using the K-means algorithm with the Euclidean distance as a dissimilarity metric. However, the Euclidean distance may not always be a good dissimilarity measure for comparing data samples lying on a manifold. In this paper, we propose two algorithms for determining a local subset of training samples from which a good...
Shape optimization of an excavator boom by using genetic algorithm
Uzer, Cevdet Can; Söylemez, Eres; Department of Mechanical Engineering (2008)
This study concerns with the automated structural optimization of an excavator boom. The need for this work arises due to the fact that the preparation of the CAD model, performing finite element analysis and model data evaluation are time consuming processes and require experienced man power. The previously developed software OptiBOOM, which generates a CAD model using a finite set of parameters and then performs a finite element analysis by using a commercial program has been modified. The model parameter...
Dimensional optimization of prismatic folded plates by pattern search.
Sübaşı, Hakkı Hasan; Department of Architecture (1979)
Citation Formats
S. Rıad M., “Geometry optimization of small copper clusters: Monte Carlo simulations study.,” Middle East Technical University, 1998.