Publications of Stefano Curtarolo
All genres
Journal Article (15)
Journal Article
3 (7), 073801 (2019)
AFLOW-QHA3P: Robust and automated method to compute thermodynamic properties of solids. Physical Review Materials
Journal Article
5, 59 (2019)
Coordination corrected ab initio formation enthalpies. npj Computational Materials
Journal Article
161 (Suppl.), pp. S1 - S1011 (2019)
The AFLOW Library of Crystallographic Prototypes: Part 2. Computational Materials Science
Journal Article
52 (1), 013001 (2019)
The 2019 materials by design roadmap. Journal of Physics D: Applied Physics
Journal Article
58 (12), pp. 2460 - 2466 (2018)
Vibrational Properties of Metastable Polymorph Structures by Machine Learning. Journal of Chemical Information and Modeling
Journal Article
58 (12), pp. 2477 - 2490 (2018)
AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. Journal of Chemical Information and Modeling
Journal Article
9 (1), 4980 (2018)
High-entropy high-hardness metal carbides discovered by entropy descriptors. Nature Communications
Journal Article
152, pp. 134 - 145 (2018)
AFLOW-ML: A RESTful API for machine-learning predictions of materials properties. Computational Materials Science
Journal Article
2 (08), 083802 (2018)
SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials
Journal Article
159, pp. 364 - 383 (2018)
The search for high entropy alloys: A high-throughput ab-initio approach. Acta Materialia
Journal Article
4, 29 (2018)
Machine learning modeling of superconducting critical temperature. npj Computational Materials
Journal Article
74 (3), pp. 184 - 203 (2018)
AFLOW-SYM: platform for the complete, automatic and self-consistent symmetry analysis of crystals. Acta Crystallographica A
Journal Article
30 (7), pp. 2331 - 2340 (2018)
Spinodal Superlattices of Topological Insulators. Chemistry of Materials
Journal Article
143, pp. 462 - 472 (2018)
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
Journal Article
57 (2), pp. 653 - 667 (2018)
The Structure and Composition Statistics of 6A Binary and Ternary Crystalline Materials. Inorganic Chemistry