Professor in the Department of Mechanical Engineering and Materials Science
- 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.
The Science of Entropy Stabilized Ultra-High Temperature Materials awarded by North Carolina State University (Principal Investigator). 2015 to 2020
Materials-similarity metrics for the AFLOW data repository awarded by Office of Naval Research (Principal Investigator). 2018 to 2019
Automated Characterization of Chemical Bonding in Inorganic Crystals awarded by Office of Naval Research (Principal Investigator). 2018 to 2019
Disorder as the discovery enabler for transition-metal mixed-anion materials awarded by Office of Naval Research (Co-Principal Investigator). 2017 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
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 AFLOWLIB.org repository awarded by Office of Naval Research (Principal Investigator). 2014 to 2018
Mineralogy Genome Project: extending the AFLOWLIB.org 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." Optimization Methods and Applications.: Springer International Publishing. 2017. 217-237. Full Text
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
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.