Stefano Curtarolo

Stefano Curtarolo

Professor in the Department of Mechanical Engineering and Materials Science

RESEARCH FIELDS
  • 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.

Appointments and Affiliations

  • Professor in the Department of Mechanical Engineering and Materials Science
  • Professor in the Department of Electrical and Computer Engineering
  • Professor in the Department of Physics
  • Professor in the Department of Chemistry
  • Faculty Network Member of The Energy Initiative

Contact Information

Education

  • Ph.D. Massachusetts Institute of Technology, 2003
  • M.S. Pennsylvania State University, 1999
  • M.S. University of Padua (Italy), 1995

Research Interests

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

Specialties

Nanoscale/microscale computing systems
Computational Materials
Quantum Information
Materials

Awards, Honors, and Distinctions

  • Fellow. American Physical Society. 2013
  • Best Paper Award. CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry). 2008
  • MRS Silver Medal Graduate Student Award. Materials Research Society. 2008
  • NSF Early CAREER Award. National Science Foundation. 2008
  • ONR Young Investigator Program Award. Office of Naval Research. 2008
  • Faculty Early Career Development (CAREER) Program. National Science Foundation. 2007
  • Presidential Early Career Awards for Scientists and Engineers. President of the United States of America. 2007

Courses Taught

  • ME 555: Advanced Topics in Mechanical Engineering

In the News

Representative Publications

  • Stanev, V; Oses, C; Kusne, AG; Rodriguez, E; Paglione, J; Curtarolo, S; Takeuchi, I, Machine learning modeling of superconducting critical temperature, Npj Computational Materials, vol 4 no. 1 (2018) [10.1038/s41524-018-0085-8] [abs].
  • Gossett, E; Toher, C; Oses, C; Isayev, O; Legrain, F; Rose, F; Zurek, E; Carrete, J; Mingo, N; Tropsha, A; Curtarolo, S, AFLOW-ML: A RESTful API for machine-learning predictions of materials properties, Computational Materials Science, vol 152 (2018), pp. 134-145 [10.1016/j.commatsci.2018.03.075] [abs].
  • Hicks, D; Oses, C; Gossett, E; Gomez, G; Taylor, RH; Toher, C; Mehl, MJ; Levy, O; Curtarolo, S, AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals., Acta Crystallographica. Section A, Foundations and Advances, vol 74 no. Pt 3 (2018), pp. 184-203 [10.1107/s2053273318003066] [abs].
  • Usanmaz, D; Nath, P; Toher, C; Plata, JJ; Friedrich, R; Fornari, M; Buongiorno Nardelli, M; Curtarolo, S, Spinodal Superlattices of Topological Insulators, Chemistry of Materials, vol 30 no. 7 (2018), pp. 2331-2340 [10.1021/acs.chemmater.7b05299] [abs].
  • Buongiorno Nardelli, M; Cerasoli, FT; Costa, M; Curtarolo, S; De Gennaro, R; Fornari, M; Liyanage, L; Supka, AR; 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, vol 143 (2018), pp. 462-472 [10.1016/j.commatsci.2017.11.034] [abs].