S
Silvana Botti
Researcher at University of Jena
Publications - 182
Citations - 7580
Silvana Botti is an academic researcher from University of Jena. The author has contributed to research in topics: Density functional theory & Band gap. The author has an hindex of 38, co-authored 159 publications receiving 5644 citations. Previous affiliations of Silvana Botti include Schiller International University & University of Pavia.
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Recent advances and applications of machine learning in solid-state materials science
TL;DR: A comprehensive overview and analysis of the most recent research in machine learning principles, algorithms, descriptors, and databases in materials science, and proposes solutions and future research paths for various challenges in computational materials science.
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Density-based mixing parameter for hybrid functionals
Miguel A. L. Marques,Julien Vidal,Julien Vidal,Micael J. T. Oliveira,Lucia Reining,Silvana Botti,Silvana Botti +6 more
TL;DR: In this article, the authors proposed a method to calculate the mixing parameter from the electronic density alone, which is able to cut the error of traditional hybrid functionals for large and small gap materials, while retaining a good description of the structural properties.
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Crystal Structure of Cold Compressed Graphite
Maximilian Amsler,José A. Flores-Livas,Lauri Lehtovaara,Félix Balima,S. Alireza Ghasemi,Denis Machon,Stéphane Pailhès,Alexander Willand,Damien Caliste,Silvana Botti,Silvana Botti,Alfonso San Miguel,Stefan Goedecker,Miguel A. L. Marques +13 more
TL;DR: In this article, an allotrope of carbon with Cmmm symmetry was found to be more stable than graphite for pressures above 10 GPa, which is known as $Z$-carbon and is formed by pure $s{p}^{3}$ bonds.
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Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning
TL;DR: In this paper, a large scale benchmark of machine learning methods for the prediction of the thermodynamic stability of solids is presented, which includes all possible perovskite and anti-perovskiite crystals that can be generated with elements from hydrogen to bismuth, excluding rare gases and lanthanides.
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Stability and electronic properties of new inorganic perovskites from high-throughput ab initio calculations
TL;DR: In this article, a high-throughput approach based on density functional theory was used to perform an extensive study of possible ABX3 perovskites, where X is a non-metal and A and B span a large portion of the periodic table.