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Cormac Toher

  1. High-entropy ceramics
    2020/02/12 by Corey Oses, Cormac Toher, Stefano Curtarolo · 20 citations
    Engineering · #High Entropy Alloys Studies #High-Temperature Coating Behaviors #Metal and Thin Film Mechanics
  2. The AFLOW Standard for High-Throughput Materials Science Calculations
    2015/05/31 by Camilo E. Calderón, José J. Plata, Calderon, Camilo E. +19 · 8 citations
    Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Catalytic Processes in Materials Science #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
  3. Predicting Superhard Materials via a Machine Learning Informed\n Evolutionary Structure Search
    2019/06/13 by Patrick Avery, Xiaoyu Wang, Avery, Patrick +13 · 5 citations
    Engineering · Materials Science · #Boron and Carbon Nanomaterials Research #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Metal and Thin Film Mechanics
  4. The AFLOW Library of Crystallographic Prototypes: Part 2
    2018/06/20 by David Hicks, Hicks, David, Michael J. Mehl +13 · 4 citations
    Engineering · Materials Science · #Crystallization and Solubility Studies #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Surface Chemistry and Catalysis
  5. Coordination corrected ab initio formation enthalpies
    2018/11/21 by Rico Friedrich, Friedrich, Rico, Demet Usanmaz +13 · 3 citations
    Chemistry · Materials Science · #FOS: Physical sciences #Inorganic Chemistry and Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
  6. High-Throughput Prediction of Finite-Temperature Properties using the\n Quasi-Harmonic Approximation
    2016/03/22 by Pinku Nath, Nath, Pinku, José J. Plata +13 · 1 citation
    Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Thermal properties of materials #X-ray Diffraction in Crystallography
  7. AFLOW-ML: A RESTful API for machine-learning predictions of materials\n properties
    2017/11/29 by Eric Gossett, Gossett, Eric, Cormac Toher +19 · 1 citation
    Materials Science · #Computational Physics (physics.comp-ph) #Electron and X-Ray Spectroscopy Techniques #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography
  8. AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis
    2018/06/18 by Corey Oses, Oses, Corey, Eric Gossett +23 · 1 citation
    Chemistry · Materials Science · #FOS: Physical sciences #Inorganic Chemistry and Materials #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #X-ray Diffraction in Crystallography