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Materials Science

D-Index
47
Citations
10502
World Ranking
11027
National Ranking
615

Overview

Silvana Botti is a researcher affiliated with Friedrich Schiller University Jena in Germany, specializing primarily in materials science. Their work spans multiple subfields including materials chemistry, atomic and molecular physics and optics, electrical and electronic engineering, electronic, optical and magnetic materials, and biomedical engineering.

The scientist's research encompasses an extensive number of topics with a strong focus on machine learning applications in materials science. Other key areas of study include semiconductor materials and interfaces, graphene research and applications, semiconductor materials and devices, nanowire synthesis and applications, X-ray diffraction in crystallography, and 2D materials and applications.

Frequent publication venues for Silvana Botti include arXiv (Cornell University), Physical Review B, Physical Review Materials, npj Computational Materials, and the Journal of Chemical Theory and Computation.

Notable recent papers authored or co-authored by Silvana Botti cover a variety of subjects from advanced materials characterization to computational methods. Selected works include:

  • Direct-bandgap emission from hexagonal Ge and SiGe alloys, 2020, Nature
  • Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning, 2020, npj Computational Materials
  • Roadmap on Machine learning in electronic structure, 2022, Electronic Structure
  • Crystal graph attention networks for the prediction of stable materials, 2021, Science Advances
  • First-Principles Identification of Single Photon Emitters Based on Carbon Clusters in Hexagonal Boron Nitride, 2021, The Journal of Physical Chemistry A

Silvana Botti has collaborated frequently with researchers such as Miguel A. L. Marques, F. Bechstedt, Tomáš Rauch, Jonathan Schmidt, and Pedro Borlido. These collaborations indicate an active involvement in research communities focusing on computational materials science and electronic structure methods.

Best Publications

  • Recent advances and applications of machine learning in solid-state materials science

    Jonathan Schmidt;Mário R. G. Marques;Silvana Botti;Miguel A. L. Marques

  • Density-based mixing parameter for hybrid functionals

    Miguel A. L. Marques;Julien Vidal;Julien Vidal;Micael J. T. Oliveira;Lucia Reining

  • Crystal Structure of Cold Compressed Graphite

    Maximilian Amsler;José A. Flores-Livas;Lauri Lehtovaara;Felix Balima

  • Direct-bandgap emission from hexagonal Ge and SiGe alloys

    Elham M. T. Fadaly;Alain Dijkstra;Jens Renè Suckert;Dorian Ziss

  • Stability and electronic properties of new inorganic perovskites from high-throughput ab initio calculations

    Sabine Körbel;Sabine Körbel;Miguel A. L. Marques;Silvana Botti

  • Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning

    Jonathan Schmidt;Jingming Shi;Pedro Borlido;Liming Chen

  • Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning

    Pedro Borlido;Jonathan Schmidt;Ahmad W. Huran;Fabien Tran

  • Long-range contribution to the exchange-correlation kernel of time-dependent density functional theory

    Silvana Botti;Francesco Sottile;Nathalie Vast;Valerio Olevano

  • Roadmap on Machine learning in electronic structure

    Unknown

  • Origin of the optical contrast in phase-change materials.

    Wojciech Wełnic;Wojciech Wełnic;Silvana Botti;Lucia Reining;Matthias Wuttig

  • Strong interplay between structure and electronic properties in CuIn(S,Se){2}: a first-principles study.

    Julien Vidal;Julien Vidal;Silvana Botti;Silvana Botti;Pär Olsson;Jean Francois Guillemoles

  • Low-energy silicon allotropes with strong absorption in the visible for photovoltaic applications

    Silvana Botti;José A. Flores-Livas;Maximilian Amsler;Stefan Goedecker

  • Band structures of Cu2ZnSnS4 and Cu2ZnSnSe4 from many-body methods

    Silvana Botti;David Kammerlander;Miguel A. L. Marques

  • Time-dependent density functional theory scheme for efficient calculations of dynamic "hyper…polarizabilities

    Xavier Andrade;Silvana Botti;Miguel A. L. Marques;Angel Rubio

  • Prediction of Stable Nitride Perovskites

    Rafael Sarmiento-Pérez;Rafael Sarmiento-Pérez;Tiago F. T. Cerqueira;Sabine Körbel;Silvana Botti;Silvana Botti

  • A time-dependent density functional theory scheme for efficient calculations of dynamic (hyper)polarizabilities

    Xavier Andrade;Silvana Botti;Miguel A. L. Marques;Angel Rubio

  • Band structures of Cu2nSnS4 and Cu2nSnSe4 from many-body methods

    Silvana Botti;David Kammerlander;Miguel A. L. Marque

  • Direct Bandgap Emission from Hexagonal Ge and SiGe Alloys

    E.M.T. Fadaly;A. Dijkstra;J.R. Suckert;D. Ziss

  • Crystal graph attention networks for the prediction of stable materials.

    Jonathan Schmidt;Love Pettersson;Claudio Verdozzi;Silvana Botti

  • Benchmark Many-Body GW and Bethe–Salpeter Calculations for Small Transition Metal Molecules

    Sabine Körbel;Paul Boulanger;Paul Boulanger;Ivan Duchemin;Xavier Blase;Xavier Blase

  • Effects of electronic and lattice polarization on the band structure of delafossite transparent conductive oxides.

    Julien Vidal;Julien Vidal;Fabio Trani;Fabien Bruneval;Miguel Alexandre Lopes Marques

  • High-Pressure Structures of Disilane and Their Superconducting Properties

    José A. Flores-Livas;Maximilian Amsler;Thomas J. Lenosky;Lauri Lehtovaara

  • First-Principles Identification of Single Photon Emitters Based on Carbon Clusters in Hexagonal Boron Nitride.

    Cesar Jara;Tomáš Rauch;Silvana Botti;Miguel A. L. Marques

  • First principles approaches to spectroscopic properties of complex materials

    Cristiana Di Valentin;Silvana Botti;Matteo Cococcioni

  • TDDFT from molecules to solids: The role of long‐range interactions

    Francesco Sottile;Francesco Sottile;Fabien Bruneval;A. G. Marinopoulos;L. K. Dash

  • Low-density silicon allotropes for photovoltaic applications

    Maximilian Amsler;Silvana Botti;Miguel A. L. Marques;Thomas J. Lenosky

  • Identification of Novel Cu, Ag, and Au Ternary Oxides from Global Structural Prediction

    Tiago F. T. Cerqueira;Tiago F. T. Cerqueira;Sun Lin;Sun Lin;Maximilian Amsler;Stefan Goedecker

  • Predicting stable crystalline compounds using chemical similarity

    Hai-Chen Wang;Silvana Botti;Miguel A. L. Marques

Frequent Co-Authors

Friedhelm Bechstedt
Friedhelm Bechstedt Friedrich Schiller University Jena
Erik P. A. M. Bakkers
Erik P. A. M. Bakkers Eindhoven University of Technology
Angel Rubio
Angel Rubio Max Planck Institute for the Structure and Dynamics of Matter
Marcel A. Verheijen
Marcel A. Verheijen Eindhoven University of Technology
Susanne Siebentritt
Susanne Siebentritt University of Luxembourg
Jonathan J. Finley
Jonathan J. Finley Technical University of Munich
Pyuck-Pa Choi
Pyuck-Pa Choi Korea Advanced Institute of Science and Technology
Oana Cojocaru-Mirédin
Oana Cojocaru-Mirédin University of Freiburg
Dierk Raabe
Dierk Raabe Max Planck Institute for Iron Research

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