Informatics-aided bandgap engineering for solar materials
- 30 November 2013
- journal article
- Published by Elsevier BV in Computational Materials Science
- Vol. 83, 185-195
- https://doi.org/10.1016/j.commatsci.2013.10.016
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Progress in chalcopyrite compound semiconductor research for photovoltaic applications and transfer of results into actual solar cell productionSolar Energy Materials and Solar Cells, 2011
- Advances in copper-chalcopyrite thin films for solar energy conversionSolar Energy Materials and Solar Cells, 2010
- (001) Ideal-surface band structure for the series of Cu-based chalcopyritesJournal of Physics and Chemistry of Solids, 2007
- Powering the planet: Chemical challenges in solar energy utilizationProceedings of the National Academy of Sciences of the United States of America, 2006
- Searching for Alloy Configurations with Target Physical Properties: Impurity Design via a Genetic Algorithm Inverse Band Structure ApproachPhysical Review Letters, 2006
- Predicting crystal structure by merging data mining with quantum mechanicsNature Materials, 2006
- Predicting Crystal Structures with Data Mining of Quantum CalculationsPhysical Review Letters, 2003
- Combinatorial design of semiconductor chemistry for bandgap engineering: “virtual” combinatorial experimentationApplied Surface Science, 2003
- First-principles calculations of second-order optical response functions in chalcopyrite semiconductorsJournal of Physics and Chemistry of Solids, 2003
- Optical properties of epitaxial CuGaS2 layers on Si(111)Journal of Physics and Chemistry of Solids, 2003