World's Best Scientists 2026 revealed!
Stefano Curtarolo

Stefano Curtarolo

D-Index & Metrics

Materials Science

D-Index
79
Citations
34307
World Ranking
2757
National Ranking
778

Research.com Recognitions

  • 2013 - Fellow of American Physical Society (APS) Citation For pioneering automatic highthroughput computational materials science, and for the creation of online materials development techniques, the ingredients of the Materials Genome Initiative

Overview

Stefano Curtarolo is affiliated with Duke University in the United States and has a significant body of work primarily within the fields of Materials Science and Engineering. Their research spans a range of subfields including Materials Chemistry, Mechanical Engineering, Biomedical Engineering, Mechanics of Materials, and Aerospace Engineering.

The scientist's main topics of work focus on Machine Learning in Materials Science, Advanced materials and composites, High Entropy Alloys studies, Metal and Thin Film Mechanics, X-ray Diffraction in Crystallography, High-Temperature Coating Behaviors, and Advanced Materials Characterization Techniques.

Notable recent papers authored or co-authored by Stefano Curtarolo include:

  • High-entropy ceramics, 2020, Nature Reviews Materials
  • Machine learning for alloys, 2021, Nature Reviews Materials
  • Theoretical prediction of high melting temperature for a Mo-Ru-Ta-W HCP multiprincipal element alloy, 2021, npj Computational Materials
  • Discovery of high-entropy ceramics via machine learning, 2020, npj Computational Materials
  • Materials design for hypersonics, 2024, Nature Communications

Stefano Curtarolo frequently collaborates with other researchers, with notable co-authors including Cormac Toher, Corey Oses, William G. Fahrenholtz, Marco Esters, and Simon Divilov.

The scientist has published extensively in a number of key venues, reflecting their active engagement with both the computational and experimental materials communities. Frequent publication venues include arXiv (Cornell University), Acta Materialia, npj Computational Materials, Computational Materials Science, and the Journal of the European Ceramic Society.

Stefano Curtarolo was recognized as a Fellow of the American Physical Society (APS) in 2013 with the citation highlighting contributions to pioneering automatic high-throughput computational materials science and the creation of online materials development techniques, which are linked to the Materials Genome Initiative.

Best Publications

  • Entropy-stabilized oxides

    Christina M. Rost;Edward Sachet;Trent Borman;Ali Moballegh

  • The high-throughput highway to computational materials design

    Stefano Curtarolo;Gus L. W. Hart;Gus L. W. Hart;Marco Buongiorno Nardelli;Marco Buongiorno Nardelli;Marco Buongiorno Nardelli;Natalio Mingo

  • High-throughput electronic band structure calculations: challenges and tools

    Wahyu Setyawan;Stefano Curtarolo

  • High-entropy ceramics

    Corey Oses;Cormac Toher;Stefano Curtarolo

  • AFLOW: An automatic framework for high-throughput materials discovery

    Stefano Curtarolo;Wahyu Setyawan;Gus L Hart;Michal Jahnatek

  • AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations

    Stefano Curtarolo;Stefano Curtarolo;Wahyu Setyawan;Shidong Wang;Junkai Xue

  • Charting the complete elastic properties of inorganic crystalline compounds

    Maarten de Jong;Wei Chen;Thomas Angsten;Anubhav Jain

  • High-entropy high-hardness metal carbides discovered by entropy descriptors

    Pranab Sarker;Tyler Harrington;Cormac Toher;Corey Oses

  • All The Catalytic Active Sites of MoS2 for Hydrogen Evolution

    Guoqing Li;Du Zhang;Qiao Qiao;Yifei Yu

  • Convergence of multi-valley bands as the electronic origin of high thermoelectric performance in CoSb3 skutterudites.

    Yinglu Tang;Yinglu Tang;Zachary M. Gibbs;Luis A. Agapito;Luis A. Agapito;Guodong Li;Guodong Li;Guodong Li

  • Machine learning modeling of superconducting critical temperature

    Valentin Stanev;Corey Oses;A. Gilad Kusne;Efrain Rodriguez

  • Phase stability and mechanical properties of novel high entropy transition metal carbides

    Tyler J. Harrington;Joshua Gild;Pranab Sarker;Cormac Toher

  • Universal fragment descriptors for predicting properties of inorganic crystals

    Olexandr Isayev;Corey Oses;Cormac Toher;Eric Gossett

  • Machine learning for alloys

    Gus L. W. Hart;Tim Mueller;Cormac Toher;Stefano Curtarolo

  • Finding Unprecedentedly Low-Thermal-Conductivity Half-Heusler Semiconductors via High-Throughput Materials Modeling

    Jesús Carrete;Wu Li;Natalio Mingo;Shidong Wang

  • Predicting crystal structures with data mining of quantum calculations.

    Stefano Curtarolo;Dane Morgan;Kristin Persson;John Rodgers

  • Ab initio lattice stability in comparison with CALPHAD lattice stability

    Y. Wang;S. Curtarolo;C. Jiang;R. Arroyave

  • Accuracy of ab initio methods in predicting the crystal structures of metals: A review of 80 binary alloys

    Stefano Curtarolo;Dane Morgan;Gerbrand Ceder

  • Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints

    Olexandr Isayev;Denis Fourches;Eugene N. Muratov;Corey Oses

  • The AFLOW standard for high-throughput materials science calculations

    Camilo E. Calderon;Jose J. Plata;Cormac Toher;Corey Oses

  • SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

    Runhai Ouyang;Stefano Curtarolo;Stefano Curtarolo;Emre Ahmetcik;Matthias Scheffler

  • Charting the complete elastic properties of inorganic crystalline

    Wei Chen;Thomas Angsten;Anubhav Jain;Randy Notestine

Frequent Co-Authors

Marco Buongiorno Nardelli
Marco Buongiorno Nardelli University of North Texas
Michael J. Mehl
Michael J. Mehl Duke University
Natalio Mingo
Natalio Mingo Grenoble Alpes University
Gerbrand Ceder
Gerbrand Ceder University of California, Berkeley
Jesús Carrete
Jesús Carrete University of Zaragoza
Ichiro Takeuchi
Ichiro Takeuchi University of Maryland, College Park
Kenneth S. Vecchio
Kenneth S. Vecchio University of California, San Diego
Kesong Yang
Kesong Yang University of California, San Diego
Donald W. Brenner
Donald W. Brenner North Carolina State University
Jon-Paul Maria
Jon-Paul Maria Pennsylvania State University

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