Predicting Phase Stability in Nitrogen Steels with Density-Functional Theory
Tue, 17/12/2019
S. Cottenier
The production and molecular occurrence of radiotoxic Po-210 in nuclear fusion and fission reactors
Fri, 08/11/2019
The Fe-Si phase diagram: from electrical steel to the planet Mercury
Charting the magnetocrystalline anisotropy energy in iron space
Boosting the discovery rate of energy materials using deep learning
How many materials are left to discover? An exploration of quaternary space
ISBN/ISSN:
Talk
Conference / event / venue
International Workshop on Machine Learning for Materials Science 2018
Aalto, Finland
Thursday, 3 May, 2018 to Friday, 4 May, 2018
Accelerating materials screening with machine learning: The case study of silicon
ISBN/ISSN:
Talk
Conference / event / venue
34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry
Helsinki, Finland
Monday, 10 December, 2018 to Thursday, 13 December, 2018
Machine learning and materials science: ab initio screening to microstructure analysis
ISBN/ISSN:
Poster
Conference / event / venue
34th winter school in theoretical chemistry: Machine Learning in Theoretical Chemistry
Helsinki, Finland
Monday, 10 December, 2018 to Thursday, 13 December, 2018
The road to accuracy: machine-learning-accelerated silicon ab initio simulations
ISBN/ISSN:
Talk
Conference / event / venue
Okayama University seminar
Okayama, Japan
Thursday, 22 November, 2018
The road to accuracy: machine-learning-accelerated silicon ab initio simulations
ISBN/ISSN:
Invited talk
Conference / event / venue
Si forum 2018
Okayama, Japan
Monday, 19 November, 2018 to Wednesday, 21 November, 2018
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