Andy Sode Anker
  • Fysikvej, 313, 332

    2800 Kgs. Lyngby

    Denmark

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  • Assessment of fine-tuned large language models for real-world chemistry and material science applications

    Van Herck, J., Gil, M. V., Jablonka, K. M., Abrudan, A., Anker, A. S., Asgari, M., Blaiszik, B., Buffo, A., Choudhury, L., Corminboeuf, C., Daglar, H., Elahi, A. M., Foster, I. T., Garcia, S., Garvin, M., Godin, G., Good, L. L., Gu, J., Xiao Hu, N. & Jin, X. & 30 others, Junkers, T., Keskin, S., Knowles, T. P. J., Laplaza, R., Lessona, M., Majumdar, S., Mashhadimoslem, H., McIntosh, R. D., Moosavi, S. M., Mouriño, B., Nerli, F., Pevida, C., Poudineh, N., Rajabi-Kochi, M., Saar, K. L., Hooriabad Saboor, F., Sagharichiha, M., Schmidt, K. J., Shi, J., Simone, E., Svatunek, D., Taddei, M., Tetko, I., Tolnai, D., Vahdatifar, S., Whitmer, J., Wieland, D. C. F., Willumeit-Römer, R., Züttel, A. & Smit, B., 2025, In: Chemical Science. 16, 2, p. 670-684 15 p.

    Research output: Contribution to journalJournal articleResearch

    Open Access
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  • The amorphous state as a frontier in computational materials design

    Liu, Y., Madanchi, A., Anker, A. S., Simine, L. & Deringer, V. L., 2025, In: Nature Reviews Materials. 10, p. 228–241 14 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  • CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

    Friis-Jensen, U., Johansen, F. L., Anker, A. S., Dam, E. B., Jensen, K. M. Ø. & Selvan, R., 2024, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Baeza-Yates, R. & Bonchi, F. (eds.). ACM, p. 4962-4973 12 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Open Access
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