Stefano Curtarolo

Stefano Curtarolo

Professor in the Department of Mechanical Engineering and Materials Science

Office Location: 
301 Hudson Hall, Box 90300, Durham, NC 27708
Front Office Address: 
301 Hudson Hall, Box 90300, Durham, NC 27708-0300
(919) 660-5506



  • Nanoscale Science of Energy
  • Computational materials science
  • Nanotube growth characterization
  • Alloy theory
  • Superlubricity on quasicrystals
  • Superconductivity in Metal borides
  • Genetic Approaches to QM Predictions of Materials Structures
  • Materials for Nuclear Detection

The research is multidisciplinary and makes use of state of the art techniques from fields like materials science, chemistry, physics, quantum mechanics, mathematics and computer science.

Education & Training

  • Ph.D., Massachusetts Institute of Technology 2003

  • M.S., Pennsylvania State University 1999

  • M.S., University of Padua (Italy) 1995

Selected Grants

The Science of Entropy Stabilized Ultra-High Temperature Materials awarded by North Carolina State University (Principal Investigator). 2015 to 2020

Automated Characterization of Chemical Bonding in Inorganic Crystals awarded by Office of Naval Research (Principal Investigator). 2018 to 2019

Materials-similarity metrics for the AFLOW data repository awarded by Office of Naval Research (Principal Investigator). 2018 to 2019

Synergetic Efforts in Automatic Accelerated Materials Design awarded by Office of Naval Research (Principal Investigator). 2016 to 2019

High-throughput Prediction of High-pressure Materials Properties for the AFLOWLIB Database awarded by Office of Naval Research (Principal Investigator). 2016 to 2019

Topological decompositions and spectral sampling algorithms for element substitution in critical technologies awarded by Office of Naval Research (Principal Investigator). 2013 to 2019

Disorder as the discovery enabler for transition-metal mixed-anion materials awarded by Office of Naval Research (Co-Principal Investigator). 2017 to 2018

DMREF: GOALI: Collaborative Research: High-Throughput Simulations and Experiments to Develop Metallic Glasses awarded by National Science Foundation (Principal Investigator). 2014 to 2018

Reciprocating materials design with the repository awarded by Office of Naval Research (Principal Investigator). 2014 to 2018

Mineralogy Genome Project: extending the repository to geophysical and environmental materials awarded by Office of Naval Research (Principal Investigator). 2015 to 2017


Hosseinian, S, Fontes, DBMM, Butenko, S, Nardelli, MB, Fornari, M, and Curtarolo, S. "The maximum edge weight clique problem: Formulations and solution approaches." Springer Optimization and Its Applications. January 1, 2017. 217-237. Full Text

Stanev, V, Oses, C, Kusne, AG, Rodriguez, E, Paglione, J, Curtarolo, S, and Takeuchi, I. "Machine learning modeling of superconducting critical temperature(Published online)." Npj Computational Materials 4.1 (December 2018). Full Text

Lederer, Y, Toher, C, Vecchio, KS, and Curtarolo, S. "The search for high entropy alloys: A high-throughput ab-initio approach." Acta Materialia 159 (October 15, 2018): 364-383. Full Text

Oses, C, Gossett, E, Hicks, D, Rose, F, Mehl, MJ, Perim, E, Takeuchi, I, Sanvito, S, Scheffler, M, Lederer, Y, Levy, O, Toher, C, and Curtarolo, S. "AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis." Journal of Chemical Information and Modeling (October 9, 2018). Full Text

Gossett, E, Toher, C, Oses, C, Isayev, O, Legrain, F, Rose, F, Zurek, E, Carrete, J, Mingo, N, Tropsha, A, and Curtarolo, S. "AFLOW-ML: A RESTful API for machine-learning predictions of materials properties." Computational Materials Science 152 (September 2018): 134-145. Full Text

Oses, C, Toher, C, and Curtarolo, S. "Data-driven design of inorganic materials with the Automatic Flow Framework for Materials Discovery." Mrs Bulletin 43.9 (September 1, 2018): 670-675. Full Text

Hicks, D, Oses, C, Gossett, E, Gomez, G, Taylor, RH, Toher, C, Mehl, MJ, Levy, O, and Curtarolo, S. "AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals." Acta Crystallographica. Section A, Foundations and Advances 74.Pt 3 (May 3, 2018): 184-203. Full Text

Usanmaz, D, Nath, P, Toher, C, Plata, JJ, Friedrich, R, Fornari, M, Buongiorno Nardelli, M, and Curtarolo, S. "Spinodal Superlattices of Topological Insulators." Chemistry of Materials 30.7 (April 10, 2018): 2331-2340. Full Text

Buongiorno Nardelli, M, Cerasoli, FT, Costa, M, Curtarolo, S, De Gennaro, R, Fornari, M, Liyanage, L, Supka, AR, and Wang, H. "PAOFLOW : A utility to construct and operate on ab initio Hamiltonians from the projections of electronic wavefunctions on atomic orbital bases, including characterization of topological materials." Computational Materials Science 143 (February 2018): 462-472. Full Text

Hever, A, Oses, C, Curtarolo, S, Levy, O, and Natan, A. "The Structure and Composition Statistics of 6A Binary and Ternary Crystalline Materials." Inorganic Chemistry 57.2 (January 2018): 653-667. Full Text

Barzilai, S, Toher, C, Curtarolo, S, and Levy, O. "The effect of lattice stability determination on the computational phase diagrams of intermetallic alloys." Journal of Alloys and Compounds 728 (December 2017): 314-321. Full Text


Isayev, O, Fourches, D, Muratov, EN, Oses, C, Curtarolo, S, and Tropsha, A. "Quantitative materials structure-property relationships (QMSPR) modeling using novel electronic and structural descriptors." August 10, 2014.

Isayev, O, Fourches, D, Muratov, EN, Rasch, K, Curtarolo, S, and Tropsha, A. "Materials cartography: Navigating through chemical space using structural and electronic fingerprints." August 10, 2014.

Ceder, G, Curtarolo, S, Morgan, D, and Rodgers, JR. "First principles calculated databases for the prediction of intermetallic structure." September 2003.