Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Bath

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Metal Oxide Foams for Pharmaceutical Amorphizationcitations
  • 2018Crystallization processes in bi-component thin film depositions::towards a realistic Kinetic Monte-Carlo simulation4citations
  • 2018Crystallization processes in bi-component thin film depositions:4citations
  • 2009Computer simulation of volatile organic compound adsorption in atomistic models of molecularly imprinted polymers65citations

Places of action

Chart of shared publication
Martínez-Martínez, Diego
2 / 2 shared
Vega, Lourdes F.
2 / 6 shared
Sarkisov, Lev
1 / 9 shared
Chart of publication period
2022
2018
2009

Co-Authors (by relevance)

  • Martínez-Martínez, Diego
  • Vega, Lourdes F.
  • Sarkisov, Lev
OrganizationsLocationPeople

article

Crystallization processes in bi-component thin film depositions:

  • Martínez-Martínez, Diego
  • Vega, Lourdes F.
  • Herdes, Carmelo
Abstract

<p>The kinetic Monte Carlo (KMC) method is a powerful and simple tool to simulate the growth of thin films by deposition. However, one of its major drawbacks is the artificial order induced by the use of regular lattices. An algorithm that mimics the crystallization processes in bi-component thin film depositions via a novel KMC approach is presented in this work. This new algorithm, named GEM-CA (Geometrical Energy Modification-Crystallization Algorithm), modifies the hopping energy barrier depending on the geometrical configuration of the atoms surrounding one particular position. The novel approach allows obtaining amorphous, crystalline and mixed structures (i.e. nanocomposites), depending solely on the synthesis parameters. In addition, we have developed a method for the analysis of deposited structures based on their degree of order. The influence of different deposition parameters such as temperature or composition is discussed in detail. GEM-CA reproduces experimentally observed trends of bi-component film deposition.</p>

Topics
  • Deposition
  • nanocomposite
  • impedance spectroscopy
  • amorphous
  • thin film
  • crystallization