Computational prediction of new auxetic materials
Dagdelen, J., Montoya, J., de Jong, M., & Persson, K. (2017). Computational prediction of new auxetic materials. Nature Communications, 8(323). https://doi.org/10.1038/s41467-017-00399-6
Dagdelen, J., Montoya, J., de Jong, M., & Persson, K. (2017). Computational prediction of new auxetic materials. Nature Communications, 8(323). https://doi.org/10.1038/s41467-017-00399-6
K Mathew, JH Montoya, A Faghaninia, S Dwarakanath, M Aykol, H Tang, ... Computational Materials Science 139, 140-152
Tshitoyan, V., Dagdelen, J., Weston, L., Dunn, A., Rong, Z., Kononova, O., … Jain, A. (2019). Unsupervised word embeddings capture latent knowledge from materials science literature. Nature, 571(7763), 95–98. https://doi.org/10.1038/s41586-019-1335-8
Weston, L., Tshitoyan, V., Dagdelen, J., Kononova, O., Trewartha, A., Persson, K. A., … Jain, A. (2019). Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature. Journal of Chemical Information and Modeling, 59(9), 3692–3702. https://doi.org/10.1021/acs.jcim.9b00470
Keynote at International Energy Raw Materials and Energy Summit., Istanbul Technical University. Istanbul, Turkey
Talk at American Crystallographic Association Annual Meeting, Toronto, Canada
Talk at Materials Research Society Fall Meeting, Boston, MA
Keynote at National Research Council Workshop on AI for Design, Ottawa, Canada