404 citations · 3.9k across the 44 of their papers we have counts for
9 papers · 2 filters
NOMAD 2018 Kaggle Competition: Solving Materials Science Challenges Through Crowd Sourcing
Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto +7
Machine learning (ML) is increasingly used in the field of materials science, where statistical estimates of computed properties are employed to rapidly examine the chemical space…
Two-to-three dimensional transition in neutral gold clusters: the crucial role of van der Waals interactions and temperature
Bryan R. Goldsmith, Jacob Florian, Jin-Xun Liu +6
We predict the structures of neutral gas-phase gold clusters (, = 513) at finite temperatures based on free-energy calculations obtained by replica-exchange ab initio…
Modulation of the Work Function by the Atomic Structure of Strong Organic Electron Acceptors on H-Si(111)
Haiyuan Wang, Sergey V. Levchenko, Thorsten Schultz +3
Advances in hybrid organic/inorganic architectures for optoelectronics can be achieved by understanding how the atomic and electronic degrees of freedom cooperate or compete to yie…
Test set for materials science and engineering with user-friendly graphic tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations
Igor Ying Zhang, Andrew J. Logsdail, Xinguo Ren +3
Understanding the applicability and limitations of electronic-structure methods needs careful and efficient comparison with accurate reference data. Knowledge of the quality and er…
Artificial Intelligence for High-Throughput Discovery of Topological Insulators: the Example of Alloyed Tetradymites
Guohua Cao, Runhai Ouyang, Luca M. Ghiringhelli +4
Significant advances have been made in predicting new topological materials using high-throughput empirical descriptors or symmetry-based indicators. To date, these approaches have…
AFLOW-CHULL: Cloud-oriented platform for autonomous phase stability analysis
Corey Oses, Eric Gossett, David Hicks +10
prediction of phase stability of materials is a challenging practice, requiring knowledge of all energetically-competing structures at formation conditions. Lar…