%0 Journal Article %1 Pfaendner_2025 %A Pfaendner, Christian %A Korn, Viktoria %A Gogoi, Pritom %A Unger, Benjamin %A Pluhackova, Kristyna %D 2025 %I American Chemical Society (ACS) %J Journal of Chemical Theory and Computation %K %N 8 %P 4151–4166 %R 10.1021/acs.jctc.5c00189 %T ART-SM: Boosting Fragment-Based Backmapping by Machine Learning %U http://dx.doi.org/10.1021/acs.jctc.5c00189 %V 21

@article{Pfaendner_2025, added-at = {2025-05-29T10:53:24.000+0200}, author = {Pfaendner, Christian and Korn, Viktoria and Gogoi, Pritom and Unger, Benjamin and Pluhackova, Kristyna}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/20d0a260ffdf08f7d114fc508b8e2b33f/simtech}, doi = {10.1021/acs.jctc.5c00189}, interhash = {0b1970f7c28aa561666ea785dfb94a98}, intrahash = {0d0a260ffdf08f7d114fc508b8e2b33f}, issn = {1549-9626}, journal = {Journal of Chemical Theory and Computation}, keywords = {}, month = apr, number = 8, pages = {4151–4166}, publisher = {American Chemical Society (ACS)}, timestamp = {2025-06-02T15:55:48.000+0200}, title = {ART-SM: Boosting Fragment-Based Backmapping by Machine Learning}, url = {http://dx.doi.org/10.1021/acs.jctc.5c00189}, volume = 21, year = 2025 }