ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING
Abstract
We have developed a software which incorporates genetic algorithms, neural networks and
methods of data-mining for research and development of materials at atomic scale.
Application of the software on research of energetically most favorable doping configurations
of magnesium hexaboride will be presented. We demonstrate an efficient search for global
minimum in the configuration space utilizing crossover and mutation genetic operators that
are finely optimized for the particular system.
Keywords:
Artificial intelligence / Data mining / Genetic algorithm / Software development / Magnesium hexaborideSource:
EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes, 2013, 109-Publisher:
- Barcelo Congresos
Collections
Institution/Community
Institut za multidisciplinarna istraživanjaTY - CONF AU - Popov, Igor AU - Sanvito, Stefano PY - 2013 UR - http://rimsi.imsi.bg.ac.rs/handle/123456789/3089 AB - We have developed a software which incorporates genetic algorithms, neural networks and methods of data-mining for research and development of materials at atomic scale. Application of the software on research of energetically most favorable doping configurations of magnesium hexaboride will be presented. We demonstrate an efficient search for global minimum in the configuration space utilizing crossover and mutation genetic operators that are finely optimized for the particular system. PB - Barcelo Congresos C3 - EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes T1 - ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING SP - 109 UR - https://hdl.handle.net/21.15107/rcub_rimsi_3089 ER -
@conference{ author = "Popov, Igor and Sanvito, Stefano", year = "2013", abstract = "We have developed a software which incorporates genetic algorithms, neural networks and methods of data-mining for research and development of materials at atomic scale. Application of the software on research of energetically most favorable doping configurations of magnesium hexaboride will be presented. We demonstrate an efficient search for global minimum in the configuration space utilizing crossover and mutation genetic operators that are finely optimized for the particular system.", publisher = "Barcelo Congresos", journal = "EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes", title = "ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING", pages = "109", url = "https://hdl.handle.net/21.15107/rcub_rimsi_3089" }
Popov, I.,& Sanvito, S.. (2013). ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING. in EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes Barcelo Congresos., 109. https://hdl.handle.net/21.15107/rcub_rimsi_3089
Popov I, Sanvito S. ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING. in EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes. 2013;:109. https://hdl.handle.net/21.15107/rcub_rimsi_3089 .
Popov, Igor, Sanvito, Stefano, "ADMIRAL FRAMEWORK- ADVANCED DATA-MINING FOR IMPROVED RESEARCH AND LEARNING" in EUROMAT2013 - European Congress and Exhibition on Advanced Materials and Processes (2013):109, https://hdl.handle.net/21.15107/rcub_rimsi_3089 .