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 Chemistry
  • Professor in the Department of Physics
  • 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

  • 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
  • Presidential Early Career Awards for Scientists and Engineers. President of the United States of America. 2007

Courses Taught

  • ME 221L: Structure and Properties of Solids
  • ME 555: Advanced Topics in Mechanical Engineering

In the News

Representative Publications

  • Mehl, MJ; Hicks, D; Toher, C; Levy, O; Hanson, RM; Hart, G; Curtarolo, S, The AFLOW Library of Crystallographic Prototypes: Part 1, Computational Materials Science, vol 136 (2017), pp. S1-S828 [10.1016/j.commatsci.2017.01.017] [abs].
  • Supka, AR; Lyons, TE; Liyanage, L; D’Amico, P; Al Rahal Al Orabi, R; Mahatara, S; Gopal, P; Toher, C; Ceresoli, D; Calzolari, A; Curtarolo, S; Nardelli, MB; Fornari, M, AFLOW π: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians, Computational Materials Science, vol 136 (2017), pp. 76-84 [10.1016/j.commatsci.2017.03.055] [abs].
  • Isayev, O; Oses, C; Toher, C; Gossett, E; Curtarolo, S; Tropsha, A, Universal fragment descriptors for predicting properties of inorganic crystals., Nature Communications, vol 8 (2017) [10.1038/ncomms15679] [abs].
  • Nath, P; Plata, JJ; Usanmaz, D; Toher, C; Fornari, M; Buongiorno Nardelli, M; Curtarolo, S, High throughput combinatorial method for fast and robust prediction of lattice thermal conductivity, Scripta Materialia, vol 129 (2017), pp. 88-93 [10.1016/j.scriptamat.2016.09.034] [abs].
  • Nyshadham, C; Oses, C; Hansen, JE; Takeuchi, I; Curtarolo, S; Hart, GLW, A computational high-throughput search for new ternary superalloys, Acta Materialia, vol 122 (2017), pp. 438-447 [10.1016/j.actamat.2016.09.017] [abs].