Ph.D., Massachusetts Institute of Technology 2003
M.S., Pennsylvania State University 1999
M.S., University of Padua (Italy) 1995
Avery, P, Toher, C, Curtarolo, S, and Zurek, E. "XTALOPT Version r12: An open-source evolutionary algorithm for crystal structure prediction(Accepted)." Computer Physics Communications 237 (April 1, 2019): 274-275. Full Text
Harrington, TJ, Gild, J, Sarker, P, Toher, C, Rost, CM, Dippo, OF, McElfresh, C, Kaufmann, K, Marin, E, Borowski, L, Hopkins, PE, Luo, J, Curtarolo, S, Brenner, DW, and Vecchio, KS. "Phase stability and mechanical properties of novel high entropy transition metal carbides." Acta Materialia 166 (March 1, 2019): 271-280. Full Text
Alberi, K, Nardelli, MB, Zakutayev, A, Mitas, L, Curtarolo, S, Jain, A, Fornari, M, Marzari, N, Takeuchi, I, Green, ML, Kanatzidis, M, Toney, MF, Butenko, S, Meredig, B, Lany, S, Kattner, U, Davydov, A, Toberer, ES, Stevanovic, V, Walsh, A, Park, NG, Aspuru-Guzik, A, Tabor, DP, Nelson, J, Murphy, J, Setlur, A, Gregoire, J, Li, H, Xiao, R, Ludwig, A, Martin, LW, Rappe, AM, Wei, SH, and Perkins, J. "The 2019 materials by design roadmap." Journal of Physics D: Applied Physics 52.1 (January 2, 2019). (Review) Full Text
Stanev, V, Oses, C, Kusne, AG, Rodriguez, E, Paglione, J, Curtarolo, S, and Takeuchi, I. "Machine learning modeling of superconducting critical temperature." Npj Computational Materials 4.1 (December 1, 2018). Full Text
Sarker, P, Harrington, T, Toher, C, Oses, C, Samiee, M, Maria, J-P, Brenner, DW, Vecchio, KS, and Curtarolo, S. "High-entropy high-hardness metal carbides discovered by entropy descriptors." Nature Communications 9.1 (November 26, 2018): 4980-null. Full Text
Legrain, F, van Roekeghem, A, Curtarolo, S, Carrete, J, Madsen, GKH, and Mingo, N. "Vibrational Properties of Metastable Polymorph Structures by Machine Learning." Journal of Chemical Information and Modeling (November 6, 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 1, 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
Hosseinian, S, Fontes, DBMM, Butenko, S, Nardelli, MB, Fornari, M, and Curtarolo, S. "The Maximum Edge Weight Clique Problem: Formulations and Solution Approaches." Optimization Methods and Applications.: Springer International Publishing. 2017. 217-237. 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.
Curtarolo, S. "Distributed synergies for materials development: The aflowlib.org consortium." March 25, 2012.
Ceder, G, Curtarolo, S, Morgan, D, and Rodgers, JR. "First principles calculated databases for the prediction of intermetallic structure." September 2003.